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Thoughts on the Market

Podcast Thoughts on the Market
Morgan Stanley
Short, thoughtful and regular takes on recent events in the markets from a variety of perspectives and voices within Morgan Stanley.

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  • What Could Go Wrong for Corporate Credit?
    Our Head of Corporate Credit Research Andrew Sheets explains why corporate credit may struggle in 2025, including the risks of aggressive policy shifts in the U.S. along with political and structural challenges in Europe and Asia.----- Transcript -----Welcome to Thoughts on the Market. I'm Andrew Sheets, head of Corporate Credit Research at Morgan Stanley. Today I’ll be discussing realistic scenarios where things are worse than we expect. Next week, I’ll cover what could be better.It's Wednesday, December 11th at 2pm in London.Morgan Stanley strategists and economists recently completed our forecasting process for the year ahead, and regular listeners will have now heard our expectations across a wide range of economies and markets. But I’d stress that these forecasts are a central case. The world is uncertain, with a probability distribution around all forecasts. So in the case of credit, what could go wrong?As a quick reminder, our baseline for credit is reasonably constructive. We think that low credit spreads can remain low, especially in the first half of next year – as policy change is slow to come through, economic data holds up, the Fed and European Central Bank ease rates more than expected, and still-high yields on corporate bonds attract buyers.So how does all of that go wrong? Well, there are a few specific, realistic factors that could lead us to something worse, i.e., our bear case.Let me start with US policy. Morgan Stanley’s Public Policy team’s view is that the incoming US administration will see fast announcement, but slow implementation on key issues like tariffs, fiscal policy, and immigration; and that that slower implementation of any of these policies will mean that change comes less quickly to the economy. But that change could happen faster, which would mean weaker growth and higher prices – if, for example, tariffs were to hit earlier and or in larger size. In the case of immigration, we are actually still forecasting positive net immigration over the next several years. But a larger change in policy would raise the odds of a more severe labor shortage.Even outside any specific change from the new US administration, there’s also a risk that the US economy simply runs out of gas. The recovery since COVID has been extraordinary – one of the fastest on record, especially in the labor market. The risk is that companies have now done all the hiring they need to do, meaning a slower job market going forward. Even in their base-case, Morgan Stanley’s economists see job market growth slowing, adding just 28,000 jobs/month in 2026. And to give you a sense of how low that number is, the average over the last 12 months was 190,000. And so, the bear case is that the labor market slows even more, more quickly, raising the risk of recession and dramatically lowering bond yields, both of which would reduce investor demand for corporate bonds.At the other extreme, credit could be challenged if conditions are too hot. Because current levels of corporate aggression are still quite low, we think they could rise in 2025 without creating a major problem. But if those corporate animal spirits arrive more rapidly, it could be a negative.Outside the US, we think the growth in Europe holds up as the European Central Bank cuts rates and Europeans end up saving at a slightly less elevated rate, and that that can keep growth near this year’s levels, around 1 per cent. But you don’t need me to tell you that Europe is riddled with challenges: from the political in France, to major structural questions around Germany’s economy. Meanwhile, China, the world’s second largest economy, continues to struggle with too little inflation. We think that growth in China muddles through, but a larger trade escalation could drive downside risk; one reason we prefer ex-China credit within Asia.Of course, maybe the most obvious risk to Credit is simply valuation. Credit spreads in the US are near 20-year lows, while the US Equity Price-to-Earnings Multiples for the equity market is near 20-year highs. In our view, valuation is a much better guide to returns over the next six years, rather than say the next six months. And that’s one reason we are currently looking through this. But those valuations do leave a lot less margin for error.Thanks for listening. If you enjoy the show, leave us a review wherever you listen and share Thoughts on the Market with a friend or colleague today.
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  • How Equity Markets Are Feeling About 2025
    Our CIO and Chief U.S. Equity Strategist says that while equity market activity suggests a measured level of optimism about 2025, the questions around tariffs and inflation have tempered expectations.----- Transcript -----Welcome to Thoughts on the Market. I'm Mike Wilson, Morgan Stanley’s CIO and Chief US Equity Strategist. Today on the podcast I will be discussing how equity markets have traded post the election and how this fits with our thinking.It's Tuesday, Dec 10 at 11:30am in New York. So let’s get after it. Post the election, our focus has been on the potential for a rebound in animal spirits like we observed following the 2016 election. During that historical period, we saw a broad-based surge in corporate, consumer and investor confidence as the sentiment analysis we’ve done shows. So far over the last month, sentiment data has reflected a more measured level of optimism led by small business confidence while services related business outlooks were actually tempered somewhat. Our assessment of the details of these surveys and commentary from corporates suggests that consumers and companies are feeling more optimistic heading into 2025. But the uncertainty around tariffs and the still elevated price levels are likely holding back the type of exuberance we saw post the 2016 election.In 2016, we were also coming out of an industrial/manufacturing downturn, which was then aided by aggressive China stimulus. Due to that downturn, interest rates were much lower globally and sovereign deficits and balance sheets were in much better shape to absorb reflationary type policies like tax cuts and deregulation. As a result, the equity market almost immediately embraced an expansionary fiscal agenda that was interpreted as being pro-growth. Today, that policy agenda appears to be less front-footed in this regard, perhaps due to some of these constraints.Nevertheless, these dynamics are still supportive of our preference for more cyclical sectors. However, given the stickiness of interest rates, it also makes sense to remain up the quality curve within cyclicals and constructively focused on sectors with clearer de-regulation tailwinds. As a result, Financials remain our preferred over-weight, followed by Software, Utilities and Industrials. On the topic of interest rates, we find it interesting that the correlation of S&P 500 returns versus the change in bond yields remains in positive territory. In other words, good macro data is good for equity returns. Furthermore, there is a clear bifurcation in terms of this correlation between cyclical and defensive sectors. Cyclical sectors are showing a positive correlation to rates, with one exception of Materials, while defensive cohorts are showing a negative correlation except for Utilities.In our view, this is a sign that cyclicals and the market overall still like stronger macro data even if it comes amid higher yields. Having said that, there is a point where this dynamic would likely reverse if interest rates rise due to less dovish monetary policy or an increase in the term premium. In April of this year, that level was 4.5 per cent on the 10-year Treasury yield when growth and inflation drove the term premium higher. For now, rates remain contained well below that threshold and the term premium is close to zero.On the flipside, a material decline in yields due to weakness in the macro growth data would also hurt cyclical stocks disproportionately leaving 4.00-4.50 per cent on the 10-year treasury yield as the sweet spot for equity valuations. Yields below that range can certainly be tolerated by equities assuming the driver is Fed rate cuts in the absence of a material slowdown in growth. Yields above that range can also be tolerated if the pace of the rate rise is measured, and the driver is stronger nominal growth versus a more hawkish Fed or a rising inflation. Finally, as we approach year-end, December seasonality is likely to be a focal point for investors. Over the past 45 years, the S&P 500's median return over the month of December is 1.5 per cent and the index has a positive return 73 per cent of the time. Notably, almost all of that performance comes in the second half of the month. These trends are directionally consistent for the Russell 2000 small cap index except that it’s even stronger at about 2.5 per cent. This performance could be further enhanced by the larger post-election spike in small business confidence mentioned earlier. Thanks for listening. If you enjoy the podcast, leave us a review wherever you listen, and share Thoughts on the Market with a friend or colleague today.
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  • How AI Is Revolutionizing Healthcare
    Morgan Stanley Research and Investment Management analysts discuss how AI can keep costs down for the industry and give patients a more personalized experience.----- Transcript -----Craig Hettenbach: Welcome to Thoughts on the Market. I'm Craig Hettenbach, Morgan Stanley's U.S. Healthcare Technology and Providers analyst. Today I'm here with my colleague Steve Rodgers from Morgan Stanley Capital Partners to talk about a growing and underappreciated segment of healthcare – the behind-the-scenes technology that is transforming the sector to keep costs down and improve patient care. It's Monday, December 9th at 9am in New York. In 2022, the size of the U.S. healthcare sector was [$]4.5 trillion and is projected to grow to [$]6.8 trillion in 2030, accounting for 20 per cent of overall U.S. GDP. We know that the U.S. population is aging, and we expect to see 71 million U.S. citizens age 65 and over by 2030. That puts ever growing demand on health care systems. So, Steve, you and your colleagues in investment management have been looking lately at key macro trends driving change in the healthcare sector.What are these drivers and how do they work together?Steve Rodgers: When we look at the health care landscape, we really think about four major macro trends. The first is cost containment. And this is just this simple idea that costs are escalating at an unsustainable rate. The second is demographics; we also know that things like obesity is increasing the prevalence of chronic conditions and increasing the overall utilization of the healthcare system. And so, we're looking at ways to invest behind that macro trend. We've also identified something called consumerism. And consumerism stems from the reality that today, patients are taking more of a financial responsibility in their healthcare. And with that comes more decision making. So, the old days – where the patient received healthcare services, but the payer paid, and there was really no link between the two – have moved on.We call it the retailization of health care. Waiting in the office for your appointment for 30 minutes used to be a standard. Today, that's unacceptable because these patients will move to the next provider who's providing them a better retail experience. The final macro driver we call enabling technology. Health care has lagged many other industry segments in the use of technology as a source of efficiency. I like to give the example of chemotherapy treatments, right? Technology would produce a new chemotherapy treatment, and while that's great for patient care and outcomes. It actually could lead to increased costs to the system because it was an added route that people would go down.Now there's technology which allows a provider to say, “Start with this one because of your genetic makeup.” And not only will you have a better outcome more quickly, but it will be less cost to the system. We're also seeing that kind of efficiency happen on the administrative side of healthcare as well. The way we think about these macro trends and how they work together is really thinking about demand versus supply. So, we see demand drivers coming from demographics and consumerism. We see supply drivers coming from cost containment and really enabling technology has impacts on both demand and supply.Craig Hettenbach: Let's focus more specifically on just how digitization and cost containment dovetail. When people talk about the impact of AI and ML on healthcare, typically the focus is on things like big pharma, medical equipment, and hospitals. But there's actually a whole intricate infrastructure that helps healthcare run.Can you talk about these behind-the-scenes businesses and why investment managers are so interested in the opportunities they offer? Steve Rodgers: Yeah, it's really important. We focus on investments that are using technology to enable their businesses. And so that's automation. That's machine learning. It's AI. But all of these technologies are being used behind the scenes to make care more efficient and they're a better use of our dollars. For example the personalization of communications from health plans. So historically a health plan would send the same communication, you know, to – the same form to every patient.Well now, technology allows the health plan, at the point of generating that communication, to know that information about the person that's getting it. And having the ability to personalize it in ways that might help them be more likely to interact with it. Maybe they're trying to get them to do something about their health. Well, they can take an administrative communication, you know, called an explanation of benefit, which really just explains how much you owe versus how much the health plan owes. And you can also add important information to that that might help you utilize your benefits better.Another example that we see is on the hospital side. As people I think have heard, hospitals have been very inefficient, right? They pay bills the wrong bills, they're duplicative invoices, and there haven't been really good ways to figure that out. Well, we now have technology that can identify those duplicative invoices, that can actually identify that there are multiple contracts that they have with a vendor and direct them to use the cheapest one.Last one that I would highlight is around the procurement of pharmaceuticals. So, again, if you imagine a hospital system that has 50 different hospitals and one person at each hospital might be buying the pharmaceuticals that fit to the needs they have in that facility. Well, now there's technology that's really helping consolidate those purchases, get the benefits of scale. Also tracking what is a very dynamic pricing market and figuring out today this channels is less costly than that one, so buy it from here; tomorrow it might be different.We're seeing behind-the-scenes uses of technology in all of those types of areas, which are leading to efficiencies. Craig Hettenbach: That's really interesting and I agree. Sometimes investors can overlook healthcare infrastructure as an area offering a lot of hidden growth. Let's take a subsector like Revenue Cycle Management or RCM. What is it exactly and what opportunities does it offer when it comes to technology and cost containment?Steve Rodgers: What it is, it really is the whole process from start to finish of a healthcare episode. So, starting with something as simple as eligibility, or is this patient eligible for this procedure?Then once that procedure happens, it has to be documented and coded and billed. And then once that bill goes out that needs to be collected and paid on. So, this whole process is really how healthcare works and it's one of the most important business processes for healthcare companies .And what we've seen with revenue cycle is it's been a very, historically, a very manual process that involved a lot of human effort. So early on, some of the most basic functions of revenue cycle were automated. So, the example I can give there would be the front-end entry of a claim.So that used to be sent over by fax and a person would have to look at that and type it into a computer and start the processing that way. Well that, for a long time, that's now been automated with either what's called OCR, which is a scanning technology. But even, you know, now, a lot of that's coming in digitally. But a lot of the rest of the process is still manual. And the reason is because the tasks are so complex. So, to resolve a claim, you often need to pull data from multiple sources. There'd be some subjective determinations about what's allowed or not allowed.You would then need to apply [it] against a multiple complex rules and benefits. And sometimes the sheer dollars involved would make it too risky to just pay that claim without someone actually looking at it. Really we're entering an automation cycle where some of these new technologies are making it possible to reliably automate these more complex functions.And so it's a combination of machine learning and AI but it's really driving efficiencies that are really exciting from an investment perspective to us right now.Craig Hettenbach: Got it. In addition to revenue cycle management, are there any other subsectors that look interesting to you right now?Steve Rodgers: We also, we call it cost cycle management. This is the idea of applying the same principles that we're seeing in revenue cycle to the purchasing of providers. So that can be supply costs, inventory management. Another area that we think is interesting is self insured employer outsourcing. One of the main frustrations that we hear time and time again from self insured employers is that their employees are not utilizing the benefits that they have. With technology, companies that are finding ways to get broader and better adoption; then in turn allowing these employers to see better utilization, which is going to lead to a healthier workforce and hopefully do so also, with some cost containment.So Craig, it's clear that there's an overlap between what we look at from the investment management side and what you and your colleagues focus on in research. How do you think about analyzing how AI and machine learning are impacting healthcare?Craig Hettenbach: Yeah, so for research across the department, we came up with a framework to look at and that's the NEXT framework. So number one, new business opportunities to evaluate. Number two, efficiencies. Number three, external productivity. And number four, content creation. So those are four things to help kind of frame what the opportunity set looks like, when leveraging AI and technology.Steve Rodgers: And how does this framework apply to your space, healthcare services and technology specifically?Craig Hettenbach: The second point of that next framework, the E for efficiencies, is something that we're already starting to see the tangible benefits. And so, just to give you some context here, the CEO of a leading hospital, at a conference recently said that 25 to 30 per cent of overall healthcare costs are tied to administrative.So there is a lot of low hanging fruit there. There's other areas within whether you think about things like prior authorizations that are still done manually, either via fax, phone, email. Those are things that some health plans and technology partners are looking to automate. So, I think the efficiencies – we’re still early on, but you're starting to see at least the business case in terms of investments there.And then there's the longer term look on the clinical side. And I think the understanding there is that's going to take longer. An executive at a recent industry conference I was at, I thought he said it best when he said, ‘You know, AI is going to save time before it saves lives.’ Steve Rodgers: How is this technology changing how physicians or providers do their jobs?Craig Hettenbach: When we look at what's happened with physicians and nurses and still not too far removed from COVID and just burnout, it's palpable. And I think it's something that technology can certainly be used as an enhancer.So ambient listening is a new technology. When we think about electronic health records; yes, it's great to get that information into that record, but it's also timely and consuming. And so, I think things like that – that can listen to and populate notes – is going to be a real time saver for both doctors and patients.And on the patient side as well, when we think about just our experience, right? Healthcare just has a long ways to go in terms of response time. And that's something that I think more automation and technology, whether it's things like scheduling or check-ins and things like that, I think ultimately you'll see more technology deployed.Okay, Steve, are there any other potentially overlooked near term or longer-term pockets of opportunity within health care that you think investors should focus on?Steve Rodgers: Yeah, I think a general rule for investors or, you know, a heuristic that they should think about is, really trying to invest behind the things that are providing – really trying to stay on the right side of healthcare. And so, when we look at things like cost containment, you know, we see companies out there where they might be benefiting from inefficiency in the system. Those are things that I'd stay away from. I'd focus on companies that are providing better quality care at a lower cost and staying on the right side of healthcare. Because I do believe that a lot of these investments – the AI, the technology – are going to drive efficiency and really eradicate some of these business models that are really taking advantage of the inefficiencies in the healthcare system.Craig Hettenbach: Great, Steve, well that's very helpful and thanks for taking the time to talk today.Steve Rodgers: Great speaking with you, Craig.Craig Hettenbach: And thanks for listening. If you enjoy Thoughts on the Market, please leave us a review wherever you listen and share the podcast with a friend or colleagues today.
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  • A Very Merry Start to U.S. Holiday Shopping
    Morgan Stanley Research analysts see a strong start following Black Friday but question whether the short shopping season will hurt retailers.----- Transcript -----Michelle Weaver: Welcome to Thoughts on the Market. I'm Michelle Weaver, Morgan Stanley's U.S. Thematic and Equity Strategist.Simeon Gutman: I'm Simeon Gutman, U.S. Hardlines, Broadlines, and Food Retail analyst.Alex Straton: And I'm Alex Straton, North America Softlines, Retail, and Brands analyst.Michelle Weaver: Thanksgiving and Black Friday are behind us; and now that the holiday shopping season is in full swing, we have some interesting new data we wanted to dig into. We also recently concluded Morgan Stanley's Global Consumer and Retail Conference in New York, and we'll share some key takeaways from that.It's Friday, December 6th at 10am in New York.I was recently on the show to talk about our holiday shopping outlook and survey takeaways, and noted that overall, we're expecting stronger spending this holiday season relative to last year. Inflation's cooled, and U.S. consumers are more positive on spending this season versus the past two holiday seasons. Now that we've got Black Friday in the rearview mirror, Simeon, within your space, how's holiday season tracking so far?Simeon Gutman: Better. And the three key metrics – traffic, physical store sales, digital sales – all seem to be tracking better. The question is the magnitude and the length of ahead that the entire industry is – and what does that give us through the rest of the season? As we all know, the holiday season, shopping season is shorter; with the later fall of Thanksgiving, we're losing a weekend. The tone at our conference affirmed all of this, all the data points we heard were pretty upbeat. And it seems like the weather couldn't have broken at a better time, which is different from the October lead up to holiday.So, it seems like we're off to a pretty healthy start. I think there's some questions of what do we make up in the last three weeks in this final push. Some companies at our conference sounded good on that. Some were a little bit, call it cautiously optimistic about the rest of the season.Michelle Weaver: And what are you expecting for the rest of the holiday season?Simeon Gutman: In theory, and as we do our models what the good start typically portends a pretty good finish. There will be like a frenetic, frantic rush till the end. And because we lose that last weekend, you know, we might just lose some days. That's what history has told us. And those couple of days, it could end up being a couple of points or a couple hundred points of growth. That's understandable. I think the market knows that. And if that were to happen, as long as the underlying tone of business is healthy, I think it's pretty excusable because it's either made up in the subsequent months, and it'll especially be made up in the following year.Michelle Weaver: Great. And then Alex, in your space with Black Friday now behind us, were there any surprises?Alex Straton: The headline on Black Friday out of the apparel and footwear space was very positive. That's the message everyone should hear. I think I'll break down how we thought about – and what we observed – into two buckets. One being what we saw on demand, and the other being what we saw on promotional or discounting activity.Now, starting with demand, I think context is really important here, and we had a pretty lackluster September and October trend line in the space. To us, this was a function of adverse weather; it was much hotter than usual, really deterring apparel spending. We also had high hurricane activity, which deterred overall discretionary spending. And then also we had the election overhang upon consumers, which can, you know, deter spending as well.So as a result, we had fall apparel spending not necessarily as robust as many retailers would have liked. We've seen that in third quarter earnings reports. And we viewed Black Friday as, almost this very powerful potential catalyst for pent up demand. It was very weather dependent, though, and Simeon mentioned this briefly. We got a cold front across the country, and I think that created this important catalyst to kick off the holiday season. So, demand was strong. Just to put some numbers around it. Our line counts were up 30 per cent year-over-year. That's a data set that typically grows mid-single digits. So, speaks to, you know, outstanding demand. It doesn't capture conversion, so it's not perfect, but it gives you a sense for our confidence and how strong it was.The second piece that I wanted to cover is just promotions. And what we saw there was consistent activity year-over-year. That was a positive surprise for me. We were braced for discounting to be higher across the group because we exited both the second quarter and out of the early third quarter reporters with some excess inventory. So, we thought they might look to clear it.We had seen a recent uptick in promotional activity in October across the group. And then also, we're facing down a pretty competitive fourth quarter set up because of a number of the dynamics that Simeon mentioned. So, the fact that we didn't see retailers, kind of, push the panic button on discounting and promotions to drive that strong sales result, I think further underscores how strong it was; and also tells you retailers are willing to wait later for the consumer, similar to how they behaved last year.Michelle Weaver: In your outlook for holiday shopping this year, you cautioned about some potential headwinds. What were they and have they been playing out as you expected?Alex Straton: Yeah. So, since the start of the year, there's been a number of dynamics that we're going to weigh on the fourth quarter, no matter what. The first is that it's companies in my coverage most difficult year-over-year comparison quarter from both the sales and a profitability perspective. The second is that we have a compressed holiday shopping period, five fewer days, one less weekend; that’s very impactful for these retailers. And the last thing is that most retailers are lapping an extra week last year. They have a 53rd week calendar dynamic that reverses out this week. So, think about it as one last less week of sales opportunity.And so, I could have sat here in January and told you all of that. What we've learned since is that these retailers are now also facing incremental freight headwinds in the back half. Some of which are just repercussions from the Red Sea dynamic. And then second, this inventory build that I mentioned that started to show up in the second quarter and some of these earlier third quarter reporters. So, all of those headwinds, I'm putting them on the table.I think the good news is that the market seems to now mostly appreciate those. There's not really high bars as we think about fourth quarter results expectations or even sentiment more broadly. So, while it is a very challenging set up, I feel like it's mostly appreciated.Michelle Weaver: Great. And final question for both of you. What are some of your key takeaways from the fireside chats you hosted at the conference that just closed?Simeon Gutman: A few thoughts. First on the tone of holiday, I'll reiterate again: companies that are most exposed to holiday, in my coverage – ones that have weather exposure, ones that have seasonal exposure, ones that have large Black Friday promotions and into Cyber Monday – sounded good. There was a sense of relief that we're making up sales, especially on cold weather categories, and there's momentum that's being carried into the rest of the year.Second, in our chats with some of the largest companies, a discussion around how starting from a retail point of view and leveraging into Omnichannel has actually been beneficial, because now as these companies gain scale and leverage, the economies of scale in Omnichannel are actually more beneficial for profits than they thought; and in some cases that's just getting started. So, an interesting dichotomy, or almost an irony for the way that these businesses were positioned about 10 to 15 years ago.Third inventories – building; companies acknowledge that, but generally feel good. That reflected underlying optimism on sales trends and buying good inventory they think the customer will respond to. And then lastly, on housing; acknowledgment that the backdrop and the rebuild will be slow and steady, but at the same time that the industry is bottoming.Alex Straton: Yeah, on my end, I would underscore what Simeon said on demand in the holiday. Clearly a strong start in terms of the weather finally turning around this big initial event with Black Friday.Secondly, on inventory we're asking our companies the same question is – how do they feel about this build that we're seeing? And they attributed to a little bit of a pull forward of receipts in advance of holiday. Some also pulling forward even further than normal to offset some of the freight expense, or they were worried about some degree of freight disruption that could have impacted the receipts. So they have explanations for why that's the case, but we're monitoring it nonetheless.And then lastly, the one magic dynamic we didn't mention yet is tariff, of course, and what the outlooks are there. I would say most companies in my space feel that they have a number of levers that they can pull to offset any potential incremental tariff next year. But the reality there is that apparel is a deflationary category. There's no pricing power. So I'll be really interested to see how this plays out next year.Michelle Weaver: Simeon and Alex, thank you for taking the time to talk. And to our listeners, thanks for listening. If you enjoy Thoughts on the Market, please leave us a review wherever you listen to the show and share the podcast with a friend or colleague today.
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  • AI as a Second Set of Eyes
    Our Europe MedTech Analyst digs into the transformational impact of AI-driven diagnostic imaging on healthcare systems.----- Transcript -----Welcome to Thoughts on the Market, I’m Robert Davies, Morgan Stanley’s Head of the Europe MedTech research team. Today I want to take you behind the scenes to show you how AI is revolutionizing our approach to medical diagnostics via Smart Imaging.It’s Thursday, December 5, at 10 AM in Boston.When was the last time you needed to get an X-Ray, a CT scan, or an ultrasound? Depending on where you live, your wait time could be as long as a month. Medical diagnostics through imaging is facing enormous challenges right now. Population growth, rising longevity, and intensifying chronic disease burdens are driving ever increasing volumes of medical scans. In the U.S. alone, CT scan volumes have quadrupled since 1995. So, what is the impact of this? Imagine a radiologist interpreting a CT or MRI image every 3-4 seconds during an eight-hour workday. This is the current pace needed to meet the soaring demand.At the same time, the U.S. population is getting older and a growing number of people are signing up for Medicare. Healthcare costs are continually rising, total U.S. healthcare spend is now hitting $4.5 trillion. That's nearly 20% of U.S. GDP. On top of that, patients need fast, accurate diagnosis. But long wait times often mean that patients don’t get the diagnostic done in time or sometimes not at all. All of this indicates that more and more stress is being placed on hospital systems each year in terms of diagnostic imaging.Smart Imaging uses AI tools to improve imaging processing and workflows to enhance traditional image gathering, processing, and analysis. It sits at the intersection of Longevity and Tech Diffusion, two of Morgan Stanley Research’s big themes for 2024. And it can help solve these acute demand challenges. In fact, AI is already transforming the $45 billion Diagnostic Imaging market.AI-driven Smart Imaging integrates into the diagnostic imaging workflow at multiple stages—from preparation and planning, all the way to image processing and interpretation. The primary benefits of using AI are twofold. Firstly, it enhances image quality, which ensures more accurate diagnoses. And secondly it improves the speed, efficiency, and overall comfort of the patient journey. At the same time, AI effectively acts as a second set of eyes for the radiologist, often surpassing human accuracy in pattern recognition. That's crucial in reducing diagnostic errors—a problem costing the U.S. healthcare system around $100 billion annually at the moment.In addition to minimizing misdiagnosis, AI is not only capable of identifying the primary disease, but also registering any potential secondary diseases. Otherwise, this isn’t normally a priority for the radiologist who is only able to spend 3-4 seconds looking at any individual image. But it’s a potentially life-saving benefit for using Smart Imaging applications.So how does AI fit into the clinical setting? There are multiple stages to the Diagnostic Imaging workflow and AI can play a role across the entire value chain from preparing a patient’s scan, to processing the images, and finally, aiding in the diagnosis, reporting, and treatment planning.Radiology is currently dominating the FDA list of AI/Machine Learning-Enabled Medical Devices. And when we look at the broader economic implications, it's clear Smart Imaging represents a pivotal development in healthcare technology that has broad implications for healthcare costs, quality of care, and better healthcare outcomes.Thanks for listening. If you enjoy the show, please leave us a review wherever you listen and share Thoughts on the Market with a friend or colleague today.
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