The Royal College of Ophthalmologists (RCOphth)’s Post

Join Kelly Malloy and myself virtually and get your questions answered on Artificial and Augmented Intelligence in Medical / Life Sciences! #ai #pharmainnovation #medicalai

Listen to Shaan Khurshid, M.D., M.P.H., provide valuable perspectives on how ECG-based AI can revolutionize cardiac care and improve patient outcomes. Listen now. https://mayocl.in/47LopiM

Don't miss our next panel on Leveraging Large Behavioral Models (LBMs) and AI for Personalized Care. Moderated by Eric Thrailkill. Why should you listen in on this panel? - Learn how Large Behavior Models (LBMs) drive personalized behavioral nudges - Enhance patient engagement, adherence, and overall outcomes - Discover precision medicine and applied behavior concepts in action - Understand opportunities, challenges, and ethical considerations of LBMs - Don't miss this webinar diving deeper into the future of AI-driven, behavior-based patient care! Gain insights from industry leaders: - David Shulkin, U.S. Secretary of Veterans Affairs - Antoinette Thomas, Microsoft Industry Expert - Amy Bucher, Chief Behavioral Officer at Lirio - Christopher Symons, Chief AI Scientist at Lirio Don't forget to register here: https://lnkd.in/gH6iVKiq

Learn about how you can access AI algorithms from research powerhouses with Bunkerhill Health in this conversation between Nishith Khandwala and Cardiac Wire.

The College of Family Physicians of Canada is on a mission to lead family medicine and improve lives–and they're supporting their membership of doctors using AI. Tune in to learn how Mark Banbury, Executive Director of IT Services, is deploying AI with his team to help physicians spend less time managing their membership in the College, and more time on patient care. #DF24 Canada Insiders Amber Mac and Shane Schick have the scoop on this episode of In Conversation With. #DFCanadaLodge

🌟 Dive Deep into the Challenge of Achieving Fairness in AI-Driven Healthcare In this talk, you'll dive deep into the challenges of bias in medical imaging datasets and the impact it has on outcomes for underrepresented populations. You'll gain insight into practical techniques for rectifying these biases, including data augmentation, fairness-aware algorithms, and advanced evaluation metrics. 🚀 You'll also explore the limitations and ethical considerations of bias mitigation in healthcare AI, with a focus on the importance of interdisciplinary collaboration in creating equitable diagnostic tools. By the end of the webinar, you will be able to implement fairness techniques in their own AI models, promoting better outcomes for all patient populations. 🔥 Register for free: https://hubs.li/Q02Shtbp0

What do evolutions in objective-driven AI and behavioral science mean for the personalized patient experience? Join me, Christopher Symons, Antoinette Thomas, David Shulkin, and Eric Thrailkill in conversation to learn how technology will enable improvements in health experience and outcomes. #artificialintelligence #behavioralscience

There are few areas of healthcare with more innovation than AI, but most solutions never make it past being published in a medical journal - providing no additional value to patient care or the solutions' developers. In the latest Cardiac Wire Show interview with Nishith Khandwala, I learned that Bunkerhill Health has a solution to this problem. Whether you're an AI developer or potential AI user, take a few minutes and check out how Bunkerhill Health is bringing AI solutions from idea to the clinic. https://lnkd.in/eNyYJyVa

Exciting news! Our team just published "Real-Time Machine Learning Alerts to Prevent Escalation of Care." This publication is a real-world example of how #machinelearning and #ai improve patient outcomes and save lives. Our pragmatic trial measured the effectiveness of an internally developed Machine Learning (ML) model to identify patients at risk for clinical deterioration. While the use of ML alerts did not significantly reduce the frequency of care escalations, a notable improvement was observed in patient outcomes. Specifically, the intervention group saw a higher likelihood of timely cardiovascular medication administration and a modest yet statistically significant reduction in combined in-hospital and 30-day mortality rates. Read the full publication here: https://lnkd.in/eJxKCDuA Kudos to our Clinical Data Science team: David Reich, Matt Levin MD, Prem Timsina, Kim-Anh-Nhi Nguyen, Fu-Yuan Cheng

AI for Doctors - Session 03: Improve Clinical & Operational Outcomes Secure your seat by registering: https://bit.ly/3RtKRYB Invitation to Doctors to join hands-on workshop, ‘Introduction to AI in Healthcare,’ led by Dr. Murali B. K., MS, MBBS. Explore AI’s transformative role in healthcare through practical insights and interactive exercises. Discover how AI is complementing human expertise in doctors’ daily medical practice.