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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Dr. Thomas Osborne, Chief Medical Officer at Microsoft Federal and Adjunct Clinical Professor of Neurosurgery at Stanford Health Care, delivers his talk “AI Agents. Agentic AI: The Next Frontier” at the 2025 American College of AI and Medicine (AMCAIM) Scientific Session in Chicago,IL.

Dr. Osborne is a board-certified diagnostic radiologist and neuroradiologist whose career focuses on advancing healthcare at the intersection of medicine, technology, and innovation. His leadership spans AI in clinical practice, predictive analytics, digital health, virtual care, and population-level transformation across enterprise healthcare systems.

Learn how emerging AI agent architectures are reshaping clinical workflows, accelerating decision-making, and defining the next era of intelligent healthcare systems.

For more information, to sign up to attend our next Scientific Session in 2026, or become a member, please visit Www.AmericanCollegeAim.Org

#AMCAIM2025 #AIAgents #AgenticAI #ArtificialIntelligence #HealthcareInnovation #MicrosoftFederal #StanfordMedicine #AMCAIM

About Dr. Melvin (Mel) Speisman, MD, FACP, FAIM

Dr. Melvin Speisman is an academic internist and hypertension specialist with more than 25 years of experience in clinical medicine, medical education, and leadership. He is an expert in the management of hypertension, chronic kidney disease, diabetes, heart failure, and other complex chronic conditions, with a strong focus on prevention and patient-centered care.

A lifelong medical educator, Dr. Speisman has mentored countless residents and students and is a lifetime member of Alpha Omega Alpha Honor Medical Society. He completed advanced certifications in Artificial Intelligence and Healthcare at Harvard Medical School, MIT, and Northwestern University’s Kellogg School of Management, and is currently enrolled in the Stanford AI in Healthcare program.

He is a Fellow of the American College of Physicians and a Fellow of Artificial Intelligence and Medicine. In 2024, he became President of the American College of Artificial Intelligence and Medicine (ACAIM), helping shape the future of AI in clinical practice and medical education.

This episode features his lecture “AI in Nephrology and Hypertension”, recorded live at Loyola University MacNeal Hospital.

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Dr. Juan Rojas serves as the Associate Chief Medical Information Officer and a Pulmonary & Critical Care Physician at Rush University Medical Center. With a strong foundation in data science and clinical informatics, he focuses on harnessing artificial intelligence and analytics to transform patient care and healthcare operations. His work bridges the gap between clinical practice and emerging technology—driving innovations in predictive modeling, quality improvement, and health equity to advance the future of pulmonary and critical care medicine.

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Dr. James Whitfill, MD, MBA, is the Chief Transformation Officer at HonorHealth, where he leads innovation and digital strategy to enhance patient and caregiver experiences. With over 20 years in clinical and executive leadership, he has advanced healthcare through data, analytics, and technology. In this talk, Dr. Whitfill discusses how predictive and generative AI are redefining the future of medicine and transforming clinical decision-making.

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And SAVE THE DATES October 9-10, 2026 for our Second annual Scientific Session at McCormick Place Convention Center in Chicago,IL.

Head to our website for more info and to sign up to attend so you can hear from and network with speakers just like James and other great thought leaders in the industry. We look forward to seeing you all there!

Recorded September 19, 2025.

Today’s speaker from our inaugural Scientific Session of The American College of Ai and Medicine is Dr. Caroline Chung, a leader at the forefront of data science and oncology. She serves as Vice President, Chief Data & Analytics Officer, and Co-Director of the Institute for Data Science in Oncology at MD Anderson Cancer Center. A tenured professor in both Radiation Oncology and Diagnostic Imaging, Dr. Chung combines her clinical expertise in central nervous system cancers with pioneering research in computational imaging.

Her work focuses on using advanced quantitative imaging and modeling to better detect and characterize tumors and treatment effects—laying the foundation for more personalized, data-driven cancer care. She leads major institutional efforts like the Tumor Measurement Initiative, aimed at transforming how clinical data is measured, interpreted, and applied through collaborative team science.

On the global stage, Dr. Chung plays a key role in shaping standards for quantitative imaging and AI in medicine. She co-chairs several influential committees and coalitions, including groups within the International Commission on Radiation Units and Measurements, the Quantitative Medical Imaging Coalition, and the American Society of Clinical Oncology’s AI Community of Practice. She’s also contributed to national strategy through her service on National Academies and NIH advisory committees focused on digital twins and artificial intelligence.

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