The American College of Artificial Intelligence and Medicine

The American College of Artificial Intelligence and Medicine

by Melvin Speisman

Medicine Tech News

Season 1

AI and Pulmonary with Dr. Juan Rojas

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. Www.AmericanCollegeAim.Org become a member and sign up to attend our Annual 2026 Scientific Session Live at McCormick Place Convention Center in Chicago, Illinois October 9-10, 2026

Predictive and Generative Ai in Medicine with Dr James Whitfill Live from AMCAIM 2025

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. Become a member today at Www.AmericanCollegeAim.Org 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!

Ai in Oncology with Dr Caroline Chung from AMCAIM Scientific Session 2025

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. www.AmericanCollegeAIM.org

Ai and Neurology: A Lecture to Harvard University with Mel Speisman MD and Ann Slasuraitis MD

Dr. Mel Speisman specializes in Academic Internal Medicine. He is an expert in the diagnosis and treatment of hypertension, diabetes, congestive heart failure, atrial fibrillation, coronary artery disease, stroke, and other chronic medical conditions. He is interested in the primary prevention of disease with a passion for medical education and bedside teaching. He has received numerous awards from medical students and residents during his 25 year career as a core faculty member of an internal medicine residency program. Dr. Speisman has mentored many physicians to take on leadership roles in academic internal medicine. Mel is a lifetime member of Alpha Omega Alpha Honor Medical Society signifying his lifelong commitment to outstanding patient care, professionalism, leadership, scholarship, research, teaching, and community service. In 2024, Mel completed certification programs in Artificial Intelligence and Healthcare at both Harvard Medical School and Massachusetts Institute of Technology as well as a certification in Artificial Intelligence from Northwestern University Kellogg School of Management. Mel is currently enrolled in the Stanford Artificial Intelligence in Health care Certificate Program with the goal of becoming a world leader at the intersection of AI and Medicine. Mel is a Fellow of the American College of Physicians (FACP) and a Fellow of Artificial Intelligence and Medicine (FAIM). In August 2024, he transitioned from being an Assistant Professor in the Division of Academic Internal Medicine at the University Illinois at Chicago College of Medicine to taking a position as President of the American College of Artificial Intelligence and Medicine. Dr. Ann Slasuraitis has been an Academic Internal Medicine hospitalist and core faculty member of an Internal Medicine residency program for over 20 years. During this time, she was involved with undergraduate, graduate, and continuing medical education as the Director for Continuing Medical Education (CME). She has mentored hundreds of medical students and internal medicine residents and has received numerous teaching awards. Currently, she provides primary care to adults with autism at the Ann Kiley Developmental Center and is the Medical Director of the Rimland Center for Autism Research. Dr. Slasuraitis is a Fellow of the American College of Physicians (FACP) and a Fellow of Artificial Intelligence and Medicine (FAIM). In 2023, Ann received the ACP Illinois Outstanding Women Physician Award. In August 2024, she accepted a position as the Executive Vice President of the American College of Artificial Intelligence and Medicine. Dr. Slasuraitis is committed to life-long learning and in our ever-changing medical profession, she is passionate about educating the current and next generation physicians about artificial intelligence and medicine. Dr. Slasuraitis is currently enrolled in the Stanford Artificial Intelligence in Health care Certificate Program. www.AmericanCollegeAim.org

FDA Approved Ai as a Medical Device featuring Leeda Rashid MD

Dr. Leeda Rashid, MD, MPH, is a current Hospitalist with Almeda Health System in California and former Senior physician at the FDA’s Digital Health Center of Excellence within the Center for Devices and Radiological Health. With a career spanning clinical care, AI-driven healthcare innovation, and global health advocacy, she has worked with startups to develop digital health and clinical decision support tools, advised international agencies delivering health tech solutions to underserved populations, and continues to practice as a hospitalist serving marginalized communities. A graduate of Oregon Health & Science University and the Harvard School of Public Health, Dr. Rashid brings a systems-level view of healthcare and a passion for using digital health to improve access and quality for all patients. www.Americancollegeaim.org

Ai and Medicine, Medical Education, and Pathology with Hooman Rashidi MD

Hooman H. Rashidi MD, MS, FCAP Associate Dean of AI in Medicine, Professor & Endowed Chair of Lombardi-Shinozuka Experimental Pathology Research at University of Pittsburgh School of Medicine, Executive Vice Chair of Computational Pathology & Informatics Division at UPMC, Executive Director of CPACE (Computational Pathology & AI Center of Excellence) Dr. Rashidi combines his passion for patient care, research and education with his unique training in bioinformatics and machine learning (ML) to create innovative new tools (i.e. MILO, STNG, Pitt-GPT+, WSI-Genie, Nebulon-GPT, etc.) and resources (Hematology Outlines, Cleveland Clinic's AI course, etc.) that improve clinical practice, research and education. His experience in AI/ML dates back to his graduate years at UCSD which subsequently allowed him to serve as the principal author and editor of several popular bioinformatics textbooks. This background has also enabled him to develop various novel AI-ML platforms. He is currently the Associate Dean of AI in Medicine, Professor & Endowed Chair of Lombardi-Shinozuka Experimental Pathology Research at the University of Pittsburgh School of Medicine, Executive Director of CPACE (Computational Pathology & AI Center of Excellence) and the Executive Vice Chair of the Computational Pathology & Informatics Division at UPMC. He is also Adjunct Professor of Engineering at the Carnegie Mellon University. Before joining University Pittsburgh / UPMC, he served as the founding director of Cleveland Clinic’s Center for Diagnostics & Artificial Intelligence & Vice Chair of Technology Innovation & Computational Pathology, and before that he served as the Director of AI for University of California Davis Medical Center and Professor & Vice chair of informatics, leading a large number of AI studies with numerous collaborators from various prominent institutions. These experiences and studies have also led to the invention of numerous products (most recent of which being the on-prem LLM framework Pitt-GPT+, the automated Image analytics frameworks WSI Genie and Auto-Pix AI) & several filed patents/established products (e.g. the University of California IP MILO: Machine Intelligence Learning Optimizer, the proprietary Automated ML platform & it’s suite of 6 complimentary separate unique Data Science and Statistics Apps & Cleveland Clinic’s new automated synthetic data generator and Validation platform STNG, Synthetic Tabular Neural Generator) along with a large number of manuscripts in which he serves as corresponding author. These products have also been licensed to several industry and academic institutions & serving as a powerful suite of data science tools for a large number of clinical, quality, research and educational projects while also starting to help optimize and expedite data access needs for all investigators. In addition to the above, Dr. Rashidi is also a practicing physician (board certified hematopathologist) and a well-known educator with numerous teaching awards who has created some of the AppStore’s most popular hematology Apps along with Cleveland Clinic’s most recent AI-ML course (launched Cleveland Clinic wide in Jan 2024). He is also the co-founder and senior editor of HematologyOutlines, a very popular digital hematology atlas that is used internationally and endorsed by the American Society of Clinical Pathology.

Leadership in Ai and Healthcare with Christopher Whelchel

Christopher Whelchel, MHA Christopher Whelchel is a seasoned healthcare strategist, health tech researcher, and AI thought leader with over 20 years of experience transforming clinical operations and advancing innovation in medical systems. He currently serves as the CEO and Founder of HealthTok, where he focuses on leveraging artificial intelligence to enhance healthcare efficiency and outcomes. A doctoral candidate, Christopher is deeply immersed in researching AI applications that streamline workflows and drive operational excellence across the healthcare spectrum. With a robust background in change management, data mining, and clinical process automation, he brings a methodical yet visionary approach to solving today’s most complex healthcare challenges. In addition to his executive leadership, Christopher is a compelling speaker and educator, frequently sharing insights on the intersection of emerging technologies and modern medicine. His passion lies in bridging the gap between advanced data-driven solutions and practical, evidence-based healthcare delivery. www.americancollegeaim.org

Ai is Leveling the Medical Playing Field with Justin Ramsaran

Justin Ramsaran is 30 Under 30 Nominee and an American digital health developer and entrepreneur who leverages cross-functional business strategies and digital transformation with artificial intelligence to empower individuals and advance healthcare systems. He is the CEO of R Group, a digital healthcare innovation company focused on developing next-generation clinical data systems to support future healthcare providers. Additionally, he serves as the VP of Digital Health Solutions for Fukuda Denshi, a Japanese medical device manufacturer dedicated to "transforming world-class technology into accessible healthcare for everyone." Justin is currently a doctoral candidate at Florida Tech, working on his dissertation at NYU Stern. At Florida Tech, he began developing the concept of integrating cross-functional business organization strategies from fintech, big tech, and Al companies into the healthcare system through an "Open Connected Architecture." In parallel, Justin continues to apply these cross-functional business strategies to other industries, including higher education and sports technology. Manifesto: Augment Human Learning with Machine Learning: Especially for social good. Utilize Unconventional Approaches to Complex Problems: Develop simple solutions. While these two ideas may seem disparate, they are interdependent. Humans often hold false notions about the world and encounter misinformation, yet we excel in learning within noisy environments. Augmenting human learning with machine learning requires a deeper understanding of learning in such environments. Across healthcare, agriculture, politics, economics, and transportation, our future as a species relies on the increasing synergy between machine learning and human learning. It is paramount that we develop tools to handle real-world uncertainty while ensuring our advancements in machine intelligence are directed towards social good. www.AmericancollegeAim.org

Ai in Radiology part 2 with Dr. Prabhu

Dr. Mel Speisman interviews Ramprabananth a Radiologist from Norway about AI. A practicing AI Radiologist, Prabhu will discuss the rapid advancements in Artificial Intelligence (AI), leading to a significant transformation in the work patterns of Radiologists and explain how he has integrated AI into the radiology department at Baerum Hospital in Norway, where approximately 40% of his work is focused on AI-related tasks including working in the integration of AI tools across the hospital chain to enhance workflow, diagnostic accuracy and efficiency. https://www.linkedin.com/in/ramprabananth/overlay/about-this-profile/?lipi=urn%3Ali%3Apage%3Ad_flagship3_profile_view_base%3BhFChbj7IQbGKXIt%2FSKSoVg%3D%3D

Ai and Medical Informatics with Dr. Deepti Pandita and Dr.Amit Kumar Dey

Doctors Melvin Speisman and Andrea Slasuraitis have a discussion with Doctors Deepti Pandita and Amit Kumar Dey. Dr. Deepti Pandita is the Chief Medical Information Officer and VP of Clinical Informatics University of California Irvine. Dr. Pandita is Board Certified in Internal Medicine and in Clinical Informatics. She is currently Associate Professor of Medicine at UCl and Faculty for the Cl Fellowship program at UCl. She was previously CHIO and Program Director of the Clinical Informatics Fellowship at Hennepin Healthcare in Minneapolis, MN. She received her Medical Degree from Christian Medical College, Vellore, India and did her residency training at University of North Dakota. Dr. Pandita is a Board member of the American Medical Informatics Association and Chair of the Medical Informatics Committee for the American college of Physicians leading several National committees and initiatives. Deepti has a passion for using innovation and technology to improve care delivery for the underserved and marginalized populations and participates in health disparities research more specifically on bridging digital disparities. Her passion and research are to continue working to create health equity in the space of Telemedicine for all underserved populations beyond the Pandemic. Deepti is also engaged in digital Innovation and seeking novel solutions to ease cognitive burden of Clinical teams and promote wellness. Dr. Amit Kumar Dey Physician | Diabetologist | Metabolic Medicine I Obesity Care | Doctorpreneur | Digital Therapeutics I Artificial Intelligence | DoctorsAl Dr. Amit Kumar Dey is a distinguished Consultant Physician specializing in Diabetology, Obesity, and Metabolic Disorders with over 12 years of clinical experience. Based in Kolkata, India, he has been recognized for his contributions to diabetes care and technology innovation, receiving multiple awards including the Diabetes Awareness Initiative Award at Diabetes India 2020, the JPEF2023 Award, and the American College of Physicians (ACP) India Chapter Governors Recognition Award in 2024 for his work in Artificial Intelligence in Healthcare. Certified by the American Board of Artificial Intelligence in Medicine (ABAIM), he is a Fellow of the Royal Society of Public Health (UK) and Diabetes India (DI), and a key advisory member of the ACP India Chapter. Dr. Dey is the Founder Chair of Doctors Al, a medical community connecting over 2000 healthcare professionals on Al-related topics. He serves as an associate editor at JMIR Diabetes, and as a faculty member at the National Diabetes Education Program (NDEP). He has published extensively in peer-reviewed journals, contributed to book chapters, and presented at numerous national and international conferences. His research interests include diabetes management in the elderly, continuous glucose monitoring (CGM) in gestational diabetes, and the application of Al in precision diabetes care. He is also the host of the widely acclaimed podcast series "MedAl - Decoding Al in Healthcare," which has reached a global audience in over 60 countries. If you'd like to learn more about using Ai for Good please visit our website at Www.americancollegeaim.org

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