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Podcast Transcript: How Can AI Help with Acute Aortic Emergencies?

with Dr. Ben Starnes

In this episode, host Dr. Sabeen Dhand interviews vascular surgeon Dr. Benjamin Starnes about artificial intelligence in aortic intervention, from aneurysm detection to procedural planning and coordination of aortic aneurysm surveillance. You can read the full transcript below and listen to this episode here on BackTable.com.

Table of Contents

(1) Dr. Ben Starnes’ Practice at UW

(2) Aortic Emergencies: Diagnosis to Treatment

(3) AI-Recognition of Emergent Aortic Injuries

(4) AI Features & Improvements in Aortic Injuries

(5) AI for Elective Aortic Injuries

(6) The Role of AI in Dr. Ben Starnes’s Practice

(7) The Future of AI in Aortic Injuries

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How Can AI Help with Acute Aortic Emergencies? with Dr. Ben Starnes on the BackTable VI Podcast)
Ep 271 How Can AI Help with Acute Aortic Emergencies? with Dr. Ben Starnes
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[Dr. Sabeen Dhand]
I'm Sabeen as your host today and I'd like to welcome vascular surgeon, Dr. Benjamin Starnes, from University of Washington in Seattle. Welcome, Ben.

[Dr. Ben Starnes]
Thank you, Sabeen. Happy to be here.

[Dr. Sabeen Dhand]
Absolutely. I've been watching a lot of these documentaries on Netflix lately about climbing mountains and I noticed you're a mountaineer. How many mountains have you climbed?

[Dr. Ben Starnes]
Only one, but it's a big one. Mount Rainier here in the Pacific Northwest.

[Dr. Sabeen Dhand]
Wow. Those documentaries are pretty scary. It's a pretty big feat.

[Dr. Ben Starnes]
Yes, it's the real deal. I've summited Mount Rainier seven times, but all with great friends and we've had a great experience up there.

[Dr. Sabeen Dhand]
Congrats. Be careful, those documentaries are scary, but they look amazing. You're also one of the first adopters of using AI, Artificial Intelligence in the setting of aortic disease, and that's something that we've been doing pretty much standard of care for stroke intervention for the last couple of years, so it's going to be really interesting to see how this is going to affect your practice. That's what we're going to be talking about today. Before we get into that, though, I'd love to know a little bit more about you, your training. How did you go from the military and then end up in Seattle?

[Dr. Ben Starnes]
I grew up the youngest of three boys, and when my parents had finished paying the tuitions for our college educations, they didn't have enough money to support me going to medical school, so I applied for an HPSP scholarship with the military. I wound up doing my residency at Walter Reed in Washington DC, went on to do my vascular fellowship at Walter Reed and again at the Cleveland Clinic, and then was stationed in the Pacific Northwest at Madigan Army Medical Center. I had 15 years in the military, three combat tours, and a very successful military career, but then was recruited as the chief of the Division of vascular surgery at the University of Washington about 15 years ago.

[Dr. Sabeen Dhand]
Thank you for your service. So 15 years you've been at University of Washington, is that right?

[Dr. Ben Starnes]
That's right.

(1) Dr. Ben Starnes’ Practice at UW

[Dr. Sabeen Dhand]
Great. Your practice focus, is it on aortic repairs?

[Dr. Ben Starnes]
Yes, so my entire practice is pretty much focused on aortic interventions for acute aortic syndromes, aortic dissection, ruptured aortic aneurysms, traumatic blunt aortic injury, elective repair of complex juxta renal and para renal aortic aneurysm using fenestrated techniques, that sort of stuff.

[Dr. Sabeen Dhand]
Would you say you're shifting more towards endo or both open and endo, or it's just case dependent, obviously.

[Dr. Ben Starnes]
It's really interesting because when I first got to the University of Washington in 2007, we were really pushing the endo envelope, and we got to a point around 2012/2013, that 80 to 85% of what we did was endo. Now it's shifting back in the other direction, because I think there's less in the way of open surgical skills in the community, and so about 40% of what I do now is open and 60% endo.

[Dr. Sabeen Dhand]
I'm sure a lot of those are referred to you to do the open because they just can't.

[Dr. Ben Starnes]
Correct.

[Dr. Sabeen Dhand]
Very interesting. How big is your vascular team at UDub?

[Dr. Ben Starnes]

We have 17 vascular surgeons at four sites of practice. Yes, it's pretty big.

[Dr. Sabeen Dhand]
That's huge. Do you practice at all four sites too?

[Dr. Ben Starnes]
I only practice at Harborview Medical Center, which is in downtown Seattle. It's a level one trauma center, so we see all of the acute emergencies.

[Dr. Sabeen Dhand]
Great. In regards to aortic repairs then, is it solely the vascular team working on that? Do you work with any services like IR or cardiology?

[Dr. Ben Starnes]
We did for a little while, but the cardiologists are so busy with structural heart disease and heart failure that they sometimes will dabble in the endovascular world, but we all work together pretty seamlessly.

[Dr. Sabeen Dhand]
That's great. In my hospital we do aortas alongside with a vascular surgeon, but we don't have 17 vascular surgeons, we have two. It's great and it's amazing you have such a big team to be able to be doing that. When did you start using AI for management of aortic disease?

[Dr. Ben Starnes]
I'll tell you it's interesting, everybody throws around the term AI and artificial intelligence, but we all use AI every single day. Whenever you get on a Google website and you Google something, you're using artificial intelligence, because that website is streamlining its information based on what you're inputting. We also use artificial intelligence when we talk to Siri in our cars, or Alexa. All of that is based on AI.

[Dr. Sabeen Dhand]
Absolutely. What we'll do is we'll talk about what your current workflow is. We'll split it between aortic emergencies and elective aortas, and we'll see what the current platforms-- how they can help you with that workflow. I'll use my experience. I've been using a platform called Viz AI for stroke intervention for the past-- I think it's been four years now or three, and we can really compare and contrast how that can help you in aortas and I can use my experience in aortas to see where this all fits in.

(2) Aortic Emergencies: Diagnosis to Treatment

[Dr. Sabeen Dhand]
Let's talk about an aortic emergency, whether it's a rupture or a dissection. When the diagnosis is made, usually I'm guessing by the radiologist reading the scan in the ER, what's the next step in the workflow at UW before any kind of platform or anything? What would happen? Would they call the ER, would they call you?

[Dr. Ben Starnes]
The current workflow is pretty cumbersome and outdated, in my opinion. Normally, we'll get a call from a physician in an emergency room somewhere in the state where he says, "I have a 74 year old patient who presented with abdominal pain. We got a CT scan, and we found an eight centimeter ruptured AAA." and then basically, they will call the Transfer Center, which is kind of a centralized service, who gets in touch with the vascular surgeon on call. We will then have to find our way to a computer somewhere, typically a desktop but not on your iPhone, to look at the images.

We then look at the images once we've gotten on the computer, and we accept the patient and transfer. Sometimes we'll give the referring provider some tips on how to manage the patient, whether it's blood pressure regimens, that sort of thing, and then the patient starts on their way, either by ambulance or by rotary aircraft, and then we'll prepare for the patient to arrive. We'll have the images to look at and prepare for the case by grabbing the appropriate graphs, that sort of thing.

[Dr. Sabeen Dhand]
Are these transfers within just the four hospitals that you're working on, or are all the community practices around Seattle or in that area? How big is your catch zone?

[Dr. Ben Starnes]
It's interesting because we work in a very unique place. We're the only level one trauma center for five American states, Washington, Alaska, Wyoming, Montana, Idaho. That's 27% of the landmass of the United States, but only 15 million people, so we get calls from Montana, we'll get calls from Anchorage, Alaska, where they have very few vascular surgeons available. I think they only have one or two in Anchorage. We'll get calls from all over the state, all over the five-state region. When it's within our own system it's pretty streamlined. All of the aortic emergencies will come through Harborview mostly. We'll take those patients directly to the operating room and fix their problems.

[Dr. Sabeen Dhand]
One thing you mentioned, seeing the images. From my radiologist's standpoint, are all the images on the same PACS system? How do you have access to all that five states' wide? That's hard.

[Dr. Ben Starnes]
That becomes an issue as well. It's taken about 10 years for us. Every time someone calls, if they're not part of our network, they are by the end of the evening, because the transfer center will be obligated to get them to sign in to our PACS system and have our PACS systems be able to communicate seamlessly. Sometimes it boils down to the fact that we can't get the images across and I'll have that provider, whether it's an ER physician or another surgeon, take snapshots of the CT scan with their iPhone and just text them to me. I know that's old school. It's not HIPAA compliant at all.

[Dr. Sabeen Dhand]
It’s cumbersome. That happens. It's very hard. I know from a technical standpoint from PACS that it's not that easy, or it takes some time to get those images to you. It's a very important fact there about images because we'll round back to that. What about contacting? We're going analog, we're calling you on a cell phone, transfer center. Who else is being notified other than you? Are the ICU hospitalists being notified or are you —

[Dr. Ben Starnes]
Not at all. They're usually surprised by the fact that we have a patient that's post-op from a ruptured AAA.

[Dr. Sabeen Dhand]
Exactly. Who's calling the OR, is it you personally calling the OR/surgery too?

[Dr. Ben Starnes]
Typically me, a resident, or a fellow is calling the front desk of the operating room to let them know. It's multiple phone calls. It's not seamlessly integrated at all.

[Dr. Sabeen Dhand]
Exactly. This is very similar to what we were dealing with, with stroke. Even right now with our aortic emergencies at my hospital, again, like you were saying, ICU doesn't even know until the case is done and we're calling them. It's a lot of these analog connections now. What about reps? Are reps frequently supporting your cases or you have all the grafts available at your hospital and you do all of that on your own?

[Dr. Ben Starnes]
We're lucky because we treat. Last year we did more than 350 aortic cases across-

[Dr. Sabeen Dhand]
Wow, that's amazing.

[Dr. Ben Starnes]
-our four-hospital system. Most of those aortic cases are focused in two hospitals, Harborview and UW Montlake. It depends on the physician. I typically don't ask for reps to be in the room. We have over 300 aortic stent grafts on our shelves so we can choose the right graft for the right anatomy, but we're very comfortable in using the grafts. Some of our newer faculty may like to have the reps in the room to help them get through the case successfully. It's vascular surgeon dependent, I would say.

[Dr. Sabeen Dhand]
All the measurements then, are you sitting down there on your PACS and measuring the neck and this and that?

[Dr. Ben Starnes]
Yes, we do it all. I try and tell the residents, especially in a rupture setting, if it's an intrarenal rapture and the patient is a suitable candidate for EVAR, I'll tell them really the two most important measurements are the D1 and the L1, so the diameter of the aorta just below the renal arteries. Then the length from the renal arteries to the aortic bifurcation. The limbs you can sort out later, but those are the two most important measurements.

[Dr. Sabeen Dhand]
Very good point. Obviously, we've identified like you said, a pretty antiquated system of what goes on. After the repair, then who's being notified? ICU hospitalists, you or a resident are calling them?

[Dr. Ben Starnes]
We're basically walking with the patient up to the ICU and doing a handoff to the ICU team.

(3) AI-Recognition of Emergent Aortic Injuries

[Dr. Sabeen Dhand]
Which is pretty much the first time they're hearing about the patient and among their many other patients. Let's circle back now. When we talk about AI. Like you said, AI is a term that's thrown out by a lot of people, a lot of people who aren't understanding of tech and stuff, but AI in this setting, if we're talking about Viz AI or other platforms that are out there, is basically a software that helps you integrate the images and the teams together. Now that you're incorporating this into your practice and you've seen it at work a little bit, is AI recognizing the aortic aneurysms, all of them, or is it recognizing the ruptures? Is it identifying them?

[Dr. Ben Starnes]
Yes. The thing that I'm really excited about in using Viz AI which we're just now starting to incorporate into our system, is that we learned a lot from the stroke care service line where it would typically take between 45 minutes and an hour for the workflow to be successfully completed. That can be reduced to just mere minutes. What I'm excited about with the treatment of our patients that harbor aortic aneurysms or aortic dissections, is that those diagnoses can be made. Then the information can be rapidly disseminated to the team to connect the patients with lifesaving treatments like an EVAR or an open repair.

[Dr. Sabeen Dhand]
Exactly. That's what we're doing at stroke. From the second the embolus is detected or the profusion abnormality is there, I already know about it. I'm able to communicate with ER, neurology, ICU, hospitalists, all at the same time. Then even other people like the stroke nursing team and everything. That's where the communication helps and identification. How accurate is the platform? Have you seen it in action as far as identifying aortic? You can talk about Viz AI in particular or any other one about is there false positives, false negatives for aortic ruptures?

[Dr. Ben Starnes]
No, it's really accurate. The other thing that we haven't talked about yet, is the ability to just have a platform on my iPhone where I could be out to dinner with my wife and get a call. I can easily and very rapidly pull up the images and just scan through them. The first time I saw this, I was just blown away at how fast it is.

[Dr. Sabeen Dhand]
Clean, smooth.

[Dr. Ben Starnes]
Exactly.

[Dr. Sabeen Dhand]
It's better than our PACS I'll tell you that much.

[Dr. Ben Starnes]
Exactly. Sometimes I'll get in front of my computer. I'm just waiting for the images to stream across, whereas, with Viz AI I can get on my smart device or iPhone and just fly through those images and just really make quick decisions. You know as well as I do, in these cases, minutes matter.

[Dr. Sabeen Dhand]
Again, the viewing platform. We've talked about this whole thing now about images. Having a viewing platform is so important because you're making your approach and your decision based on the images, so that needs to be there and available. It's hard when you're waiting to get sent from another hospital or things like that.

[Dr. Ben Starnes]
That's right.

(4) AI Features & Improvements in Aortic Injuries

[Dr. Sabeen Dhand]
Does the software calculate the sizes and everything for you? For example, the neck, like we talked about, you just said, the neck of the aorta below the renals, from the renals to the bifurcation, is it doing that all for you?

[Dr. Ben Starnes]
We haven't relied on it for that, but there's no reason that it can't. This is what we're talking about in terms of artificial intelligence. We've got machine learning. It's interesting because I didn't know much about this until about five or six years ago when I had an orthopedic surgeon who was sitting in a boardroom with me at a council meeting. He was going through all of these images. He was basically teaching the computer to identify fractures and patterns of fractures. That's all that machine learning is. You're just teaching a computer to recognize patterns. Pattern recognition. That's exactly what Viz AI can do for us. It's going to be able to size for the endograft. It'll be able to not only tell you the diagnosis but also help you in your planning.

[Dr. Sabeen Dhand]
Definitely. Then in addition to images, we touched on communication. Before you're using calls and text messages. On Viz, at least on for stroke, it has a very nice text messaging platform, which can be done to your vascular team, to anyone else, and it's all HIPAA compliant. We have a HIPAA-compliant text messaging software at our hospital. It's called Vocera. I feel it's made by third graders. It's clunky, it's slow, and the UI is so terrible. One thing I think that people are realizing is that UI is very important. Being user-friendly and being smooth is great.

[Dr. Ben Starnes]
I would also say that hospital systems don't realize the savings that would be incurred by having patients be able to be treated in a more rapid fashion because if the patient's continuing to bleed for an hour and a half into their abdomen from a Ruptured AAA, that's going to mean they need more blood transfusions and they're going to be in the hospital longer. We know that. We know that if we can get a patient in the OR quicker, that their length of stay is going to be decreased by 50% and that matters to hospital systems.

[Dr. Sabeen Dhand]
That's a huge point. What other services do you see? Say we call it like an aortic response team. Who else would be on this team, on this platform?

[Dr. Ben Starnes]
Well, it's not only the residents and fellows but it's the nursing staff in the operating room. Your circulating nurse can be notified in advance so that the room can start to get set up. The scrub techs and then the vascular surgery team and then the ICU team that's going to be taking care of the patient afterwards.

[Dr. Sabeen Dhand]
Yes, exactly. Again, you're not notifying the ICU team at the very end. They're aware of it, everything's ready. There's just so much more streamlining that's going on with this.

(5) AI for Elective Aortic Injuries

[Dr. Sabeen Dhand]
What about non-emergent? Let's shift our focus and go to elective aortas. Would you be planning to use AI to also identify non-ruptured aorta that are five centimeters or above?

[Dr. Ben Starnes]
Absolutely. Well, any aneurysm really, even the smaller aneurysms. Here's what happens and it's really a reflection of our outdated healthcare system. A patient will go to the emergency room, let's say with right upper quadrant abdominal pain and be diagnosed with cholecystitis, whether it be by ultrasound or CT scan, but oh, by the way, on that imaging study, they detected an aneurysm that was three and a half or four centimeters. Well, the patient will get treated for their gallbladder, but this incidentally detected aneurysm will not be addressed and it'll be forgotten and the patient, you can't rely on the patient to know that what was in their imaging report.

If the word aneurysm is in any report anywhere, Viz.ai can scan millions of documents and find those words and give you a list of patients who have aneurysms that have not been treated. Those patients can be captured and brought into your system and be evaluated and then tucked under the wing, so to speak, to treat once they reach a certain size.

[Dr. Sabeen Dhand]
Absolutely. We deal with that a lot where there's things exactly how you described it, where it's an incidental finding and then just forgotten about or lost to follow up. I do think that using these platforms will really capture and help and benefit patients to be worked into a system and followed. Do you imagine, like when we have stroke cases or when you have ruptures, this system notifies you, it sends you a message or it blasts a tone on your phone. Would you want that for any aneurysm or you would want something more-- I don't know. Sometimes I would feel like that would be disruptive sometimes if it's just elective, but that may still be--

[Dr. Ben Starnes]
Absolutely. I think that's one of the topics that people get afraid of. I can't imagine having my phone go off every time the word aneurysm was reported on a CT scan within our system, because my phone would basically just be going off all day long. I think you can tone it down to the point where you get a list or maybe one of your providers, your PA or your ARNP check at the end of the week, a list of patients to then be able to go in and look at their imaging and then give the appropriate referral when needed.

[Dr. Sabeen Dhand]
Sure. One interesting, we find this conundrum in interventional radiology, sometimes in radiology, is say you have this finding and how do you then follow up? Do you wait for the primary person to call you and make the referral or do you kind of be more proactive and you call them and say, "Hey, look, this is what's here. Do you want us to take care of this?" How do you approach that?

[Dr. Ben Starnes]
Sabeen, that's the scary part to me is that, right now the way the system is without artificial intelligence, it's a clunky outdated system where we don't have any idea who's out there that has an aneurysm or dissection that is not symptomatic. We have no idea, and we rely on the primary care providers to put in the referral to us where we can actually evaluate the images. I think by having those patients be identified across a vast, incredibly enormous system or healthcare system, we can be proactive about providing life-saving treatments to patients who don't even know that they have an aneurysm or may have been lost to follow up.

(6) The Role of AI in Dr. Ben Starnes’s Practice

[Dr. Sabeen Dhand]
Totally. Now, since you're just starting this, do you have any examples of how it's impacted your practice? I know you're just starting using it and a lot more will come in the next year, but do you have any examples of how it's impacted you?

[Dr. Ben Starnes]
Yes, so a couple of recent cases where we've been able to get on to the platform and take a look at imaging and get the patient treated expeditiously. Those are the examples that mean the most to me.

[Dr. Sabeen Dhand]
Imagine all those hospitals having the ability to upload. The way how it works for our listeners and other people, is that when the images are scanned in the CT scanner, they get sent to the PACS server and they get sent to a separate Viz.ai server or AI platform server, because there's multiple not just Viz. Then that analyzes the images and that's put on a totally different server. You could essentially have all your hospitals in that five-state catch zone, be able to upload and you would've access to all of this and you're not dealing with snapshots on a phone and all that and you're making those decisions really, really quickly and accurately.

[Dr. Ben Starnes]
Yes. The other thing we haven't touched on is the bi-directionality of the software. Not only does it feed images to you, you can actually-- it integrates with your EMR so that you can actually write notes and document your workflow into the system so that actually becomes important in terms of coding and billing, in terms of being able to become compensated for some of the work that you do.

[Dr. Sabeen Dhand]
That's amazing, I wish we had that. We have a outdated EHR called Allscripts, eMD, and I wish we had that. I believe some of the platforms are not integrate with Epic and things like that. It's just so awesome to have that integration and just again, streamlining. We're in 2022.

[Dr. Ben Starnes]
We're already two decades into the most recent century. We're still using technology that was created in the last century.

[Dr. Sabeen Dhand]
It's funny. Medicine is always like literally three decades, it's crazy that paper charts are still being used at places. You compare yourself to a tech company and I have a lot of friends in tech and they look at what we do and they're like, "Man, you guys are just antiquated". [laughs].

[Dr. Ben Starnes]
Yes, that's right.

(7) The Future of AI in Aortic Injuries

[Dr. Sabeen Dhand]
It's funny. What do you see as a future of these platforms? We touched base upon a couple of things, but do you think aside from measurements and all that, will you think it'll determine approach or device recommendations, things like that?

[Dr. Ben Starnes]
No, I think like you said, we're in 2022, soon to be 2023 right now. We've talked mostly about the power that artificial intelligence gives us in terms of imaging. What I would say is that AI is integral to robotics and robotic surgery, machine learning with robotics for motion and manipulation. AI is already heavily used in robotics. I think that's the future because we're seeing a lot of robotic surgery. I know my good friend Matt Eagleton is working with a company called Centerline Biomedical, which is using robotics to be able to reduce the radiation exposure to providers and to the surgical team by being able to operate remotely and stay away from the radiation field. I also think that a future for AI is in genetics and being able to go through the genetic, the billions of data points that come out of the genetic code for any individual human and to identify those patients with connective tissue disorders that are young and that have not yet developed an aneurysm or a dissection, but are at risk of developing that. So genetic aortopathies will be identified by AI in the future, and that's just 5 to 10 years away from now.

[Dr. Sabeen Dhand]
Yes, totally. We live in a cool, I mean 2030, we'll see what we'll be talking about then. It's going to be--

[Dr. Ben Starnes]
It's exciting.

[Dr. Sabeen Dhand]
It's exciting, especially if you just compare to what we were doing in 1990 and what we're doing now. Just imagine 10, 20 years from now. Well, Ben that was really intriguing and a lot of information. Anything else you want to comment on regarding aortic disease in general or AI or anything else you want our listeners to know?

[Dr. Ben Starnes]
All I would say to our listeners today is that we're already using AI on a daily basis thousands of times. You may not realize it, but it is the future. We have to teach our machines and our technology to help intelligently coordinate care for our patients.

[Dr. Sabeen Dhand]
Absolutely. Everything is patients first. We want to make everything better and better outcomes. That's what our goal is and technology is obviously the way to do that. Ben, thanks again. Really appreciate you coming on the show, giving your perspective and from all your experience of aortic management. Thank you again.

[Dr. Ben Starnes]
Thank you, Sabeen. It's been a pleasure being here.

[Dr. Sabeen Dhand]
Absolutely. Thanks to Karen and the BackTable team for making this happen. We look forward to talking to you some more.

[Dr. Ben Starnes]
Sounds great.

Podcast Contributors

Dr. Ben Starnes discusses How Can AI Help with Acute Aortic Emergencies? on the BackTable 271 Podcast

Dr. Ben Starnes

Dr. Benjamin Starnes is a vascular surgeon at Harborview Medical Center, a Professor of Vascular Surgery, the Chief of the Division of Vascular Surgery, and Vice Chair of the Department of Surgery at UW School of Medicine.

Dr. Sabeen Dhand discusses How Can AI Help with Acute Aortic Emergencies? on the BackTable 271 Podcast

Dr. Sabeen Dhand

Dr. Sabeen Dhand is a practicing interventional radiologist with PIH Health in Los Angeles.

Cite This Podcast

BackTable, LLC (Producer). (2022, December 12). Ep. 271 – How Can AI Help with Acute Aortic Emergencies? [Audio podcast]. Retrieved from https://www.backtable.com

Disclaimer: The Materials available on BackTable.com are for informational and educational purposes only and are not a substitute for the professional judgment of a healthcare professional in diagnosing and treating patients. The opinions expressed by participants of the BackTable Podcast belong solely to the participants, and do not necessarily reflect the views of BackTable.

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