AI and New Tech in Orthopedics


Phoenix surgeon. The Nice thing about incorporating technology into our work today is that there's many different facets we can utilize it one area that I would say in regards to reduce provisions that we talked about is how do we make our practices. Smarter Redo His from Radiology Perspective. So I definitely use. Ai and clever was some individuals to look at media graphs not just that the hip and knee which we look specifically but other areas around it but also using a. I the diagnosed utilize ai to identify implants which we can't do as well with the human eye. An area of interest for myself and Thurston is infections and so we're using technology tech infections earlier because we know that earlier detection is earlier treatment which is outcome for patients. So this is done with sensors. Sometimes you the placement skin placed inside intense themselves and when it comes to technology another area that I'm interested in investigating is when do implants fail so when we look at technology today when I can tell implants? Failing my biggest indicator is a patient coming in with pain after getting an implant placed in. It's not a very sensitive indicator by far so people are developing who we call smart implants where you're putting in technology into implants themselves that can detect these problems of loosening beforehand. So we can utilize those regular everyday practices. Hossan M I. I couldn't agree with you more. I think the The future really is in technology and algae via from numerous ways You know the I think the idea of implantable smart. Implants has has huge potential. Identifying you can start off the bio mechanics. Amazing why they fail. You also can monitor patients much better. We're going to be doing much of our Care has to be much more cost. Effective way to be a monitor them from afar That would be far superior. We can identify patients who need more. You would know much more about this than I do. Because you're the infection grew as here but I could imagine implants that someday. We'll be able to pick up infections before we know they're infected. Maybe self diagnosing type implants also if you look at it. There's some areas that that are so fundamental if you think of what we lack in and there's such a need for technology were just beginning to scratch the surface on that we don't balance a knee until maybe more the last five years any differently than John. Insult did it thirty years ago. It's I think this is good. And we don't know what we think is bounced stays the same balanced two months later two years later which patients loosen which patients don't loosen. We don't we haven't had objected ways. I think with the sensor technology with robotics we will gain insight to know how we should treat various different patients and really go to individualizing the patient. And then you begin to say using the data that we are deriving could derives law all these technology. This is torsten and I think I agree with both of you guys and and I think Antonio spot on if you look at the use of I in in healthcare. I think the area that we're most advanced is the imaging area. They are advanced algorithms available. That disappoint even read at an accuracy that succeeds ever trade yards. So I think this is a huge area. If an orthopedic surgeon that uses x Ray every day to follow patients to diagnose patients determine their readiness for surgery to say that. Hey we're reaching this point where you probably going to be candidate for for total joint replacement and you can incorporate dad on the Tele Medicine Platform. You can get x-rays anywhere and I read it and then refers the patient A personal interest of mine where I use. Ai and machine learning is in predicting outcomes We have been for the past three years. I've been working on projects trying to predict length of stay cost overrun in a in a bundled episode Predicting adverse events such as readmission Divas it's Or DISCHARGE DISPOSITION. The challenges there. Is You machine? Learning models depend on the accuracy of the data that you feed into the model also accurate coding and ended event trade for this especially orthopaedics. Elective surgery is fairly small. So you need large numbers to get. Akron models But I think that that has a tremendous Opportunity in that area when it comes to a If you talk about technology and orthopedics and I don't think I think Steve mentioned going as like I think one area that we really have come a long way and that we're making rapid improvements. It's using robotics sensors. I I to balance the using robotics to do the cops. Think these areas Extremely fast growing areas with companies diving into it and rapidly releasing new technologies reducing revisions conference. We talk a lot about this kind of edge of the circle research. The things that you all just mentioned and what you're excited about what you discussed. What would you say to those listening? patients providers technicians. Do you think is the most tangible rate Just right on the circle of we'RE GONNA. This thing is about to be across the country and available in all markets. Why are you excited about that? Particular piece of technology. I think what is middle available at this point in most of the hospitals I would say the market penetration close to fifty sixty percent. Now is some type of robotic technology or navigation technology. It's available implant placement. I think that that is something that patients can have a conversation with the provider about the benefits and risk without. But that is Fandy. Well penetrated an orthopedic market. And then if you if you go and shift to value based environment and look at what is available there. Several companies smaller companies platforms that offer. Ai Technologies or communication technologies to provide us to interact with patients and that goes as far as as using tell them visits and Ritual follow ups and I think Dole Todd technologies that in my opinion they bay exciting something that comes in handy during this code nineteen crisis as

Coming up next