Scientific Session of the American College of Artificial Intelligence and Medicine
The American College of Artificial Intelligence and Medicine is proud to invite you to its inaugural conference—the 1st Annual Scientific Session of The College. The theme of this conference is Evidence-Based AI in Medicine—a landmark event at the intersection of clinical medicine, technology, and healthcare innovation.
This premier scientific meeting convenes a distinguished community of clinicians, clinician-scientists, researchers, and thought leaders to examine the transformative potential of artificial intelligence in patient care, building upon the foundation of rigorous, evidence-based applications.
Set against the backdrop of a rapidly evolving healthcare landscape, the Scientific Session offers attendees the opportunity to immerse themselves in the frontiers of medical AI—where innovation is evaluated not by hype, but by evidence, reproducibility, and real-world impact.
Conference Highlights
This high-impact, interactive event will feature:
Keynotes from global AI and healthcare pioneers
Panel discussions on AI ethics, bias, and responsible implementation
Hands-on workshops on AI integration into clinical workflows
Cutting-edge research presentations on AI-driven diagnostics and decision support
Networking opportunities with top clinicians, data scientists, and AI experts
And more...
Who Should Attend
The College is designed for professionals at the intersection of clinical care, scientific inquiry, and technological innovation. This conference is particularly relevant for:
Clinicians and clinician-scientists passionate about the evidence-based application of AI in patient care
Academic researchers and data scientists developing AI tools for diagnosis, prognosis, and clinical decision support
Medical educators seeking to understand the role of AI in medical training and clinical reasoning
Healthcare leaders and policy advisors focused on responsible, ethical implementation of AI in healthcare systems
Trainees, fellows, and early-career investigators exploring careers at the nexus of AI and medicine
Keynote Speakers
The best speakers in the field will be gathered during the event.
Dennis Chornenky, MBA, MPH, MS
Domelabs
Dennis Chornenky, MBA, MPH, MS
Chief Artificial Intelligence Advisor,
Founder & CEO, Domelabs AI
Dennis Chornenky is the Founder & CEO of Domelabs AI, a technology and advisory company providing AI governance, cybersecurity, and strategic intelligence solutions for the national security and healthcare sectors. He previously held senior roles at the White House, UnitedHealth Group, University of California, and Morgan Stanley.
As a Senior Advisor and Presidential Innovation Fellow at the White House he led AI policy and national security initiatives across two administrations and contributed to the Executive Order on Trustworthy AI. As the Executive Director of VALID AI, he convenes 50 major health systems to advance AI adoption in healthcare.
A sought-after speaker and advisor on AI governance and adoption, Dennis’s insights feature in outlets such as Forbes, Bloomberg, and Politico. He holds degrees from MIT, Harvard, Oxford, and UC Berkeley.
Nina Kottler, MD, MS, FSIIM
Associate Chief Medical Officer for Clinical Artificial Intelligence at Radiology Partners
Dr. Nina Kottler has been a practicing radiologist for over 20 years. With her clinical experience combined with a graduate degree in applied mathematics and optimization theory, she has been using technological innovation to improve quality and drive value in radiology. As the first radiologist to join Radiology Partners, Dr. Kottler has held multiple leadership positions within the practice. Currently, she is the associate Chief Medical Officer for Clinical AI, serving on RP’s Innovation Steering Committee and Working groups and leading the Data Science and Analytics division of the Clinical Value Team. As a VP of Clinical Operations, Dr. Kottler also developed and practices in Radiology Partners’ remote imaging division, serves internally on their AI, IT, and Culture & Leadership support boards, and runs the Education and Development affinity group for RP’s Belonging committee. Externally Dr. Kottler serves on the following committees: ACR Metrics Committee, ACR Quality, and Safety Conference Planning Committee, SIIM Machine Learning Committee, SIIM Program Committee (Scientific Abstract Reviewer), RSNA Educational Exhibits Committee (Radiology Informatics Subcommittee), and the RAD= Steering Committee. In 2018, Dr. Kottler received the Trailblazer Award - an award recognizing a pioneering female leader in the field of imaging informatics.
Frequently Asked Questions
Find quick answers to common questions about the conference.
Location
McCormick Place Convention Center
2301 South Doctor Martin Luther King Junior Drive Chicago, IL United States, 60616Registration period
January 22, 2025 - 11:46 until July 22, 2025 - 21:00
Submission period
January 22, 2025 - 11:46 until July 22, 2025 - 21:00
Contact us
If you have any questions, please contact mspeismanmd@americancollegeaim.org .
