Ai in Critical Care LIVE from AMCAIM 2025

Patrick Smith, MD is a board-certified internal medicine physician and nocturnist with frontline experience in high-acuity hospital environments. Currently serving at the San Francisco VA Medical Center and as a clinical instructor with UCSF Health Sciences, Dr. Smith brings a rare blend of real-world critical care practice and academic insight to the evolving role of artificial intelligence in hospitals. With training from the Cleveland Clinic and West Suburban Medical Center, and a background in biophysics from the University of San Diego, he offers a uniquely technical and practical perspective on how AI can enhance decision-making, workflow efficiency, and patient safety in critical care—both today and in the years ahead.

Don Teed, MD is an ICU and Internal Medicine attending physician at West Suburban Medical Center in Oak Park, Illinois, where he cares for critically ill patients on the front lines of hospital medicine. With training that spans general surgery, internal medicine residency, and a medical degree from Michigan State University, Dr. Teed brings a broad, systems-level understanding of how hospitals function under pressure. His perspective on artificial intelligence is grounded in real-world critical care—exploring how AI can support clinicians, improve patient outcomes, and reduce cognitive load in some of the most demanding environments in medicine.

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In this episode, we feature a compelling talk from Dr. Thomas Osborne, a physician-leader working at the forefront of healthcare, technology, and innovation. Dr. Osborne serves as Chief Medical Officer at Microsoft Federal and is an adjunct Clinical Professor at Stanford Health Care, where his work focuses on translating emerging technologies into real-world clinical impact.

With deep experience spanning medicine, AI, digital health, and enterprise strategy, Dr. Osborne explores how artificial intelligence can be responsibly and effectively leveraged at the point of care—where clinical decisions matter most. His talk highlights practical applications of AI, predictive analytics, and data-driven decision-making to improve patient outcomes, clinician workflows, and healthcare system efficiency.

Throughout his career, Dr. Osborne has led large-scale healthcare initiatives, advised on multimillion-dollar partnerships, and helped organizations navigate the opportunities and responsibilities of AI in medicine. His perspective bridges clinical practice, innovation, and leadership, offering a grounded yet forward-looking view of how AI can enhance—not replace—human-centered care.

This session is a must-listen for clinicians, healthcare leaders, technologists, and anyone interested in the future of AI-enabled medicine.

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Dr. Nina Kottler is a practicing radiologist and one of the nation’s foremost leaders in clinically responsible artificial intelligence in medicine. With more than 20 years of experience and a graduate background in applied mathematics and optimization theory, she brings a rare combination of deep clinical insight, operational leadership, and technical expertise to the future of AI-enabled healthcare.

Dr. Kottler serves as Chief Medical AI Officer at Mosaic Clinical Technologies, the technology arm of Radiology Partners, where she leads the vision, development, and large-scale deployment of AI across the largest radiology practice in the United States. As the first radiologist to join Radiology Partners, she played a foundational role in shaping the organization’s clinical, operational, and AI strategy from the ground up.

Beyond her work in clinical practice, Dr. Kottler is an Associate Fellow at the Stanford Center for Artificial Intelligence in Medicine and Imaging (AIMI) and serves on national committees for the American College of Radiology (ACR), RSNA, and SIIM, as well as the RadEqual Steering Committee, where she champions equity and leadership advancement in medical imaging and healthcare technology.

A nationally sought-after keynote speaker and advisor, Dr. Kottler is known for her pragmatic and principled approach to AI—advocating for solutions that are safe, transparent, scalable, and designed to augment rather than replace clinicians. In 2025, she was honored with the Dr. Ruth Dayhoff Award for advancing women in medical imaging informatics and was recognized as both a Chief AI Officer to Know and a Radiology Key Opinion Leader.

At the AMCAIM Scientific Session 2025, Dr. Kottler delivers a keynote address on the critical importance of building clinically responsible AI

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