CPHAI Symposium 2026
AI in Healthcare: From Research to Real-World Clinical Impact
HANOVER INN, GRAND BALLROOM
Friday, APRIL 17th
CPHAI Symposium 2026 Overview
Join us for the Annual Dartmouth Symposium on Precision Health & AI on April 17, 2026, at the Hanover Inn Grand Ballroom. This year’s symposium brings together leaders in AI, clinicians, and biomedical researchers to explore the latest advancements in AI-driven healthcare.
Keynote speaker include Dr. Jason Moore (Cedars-Sinai Medical Center, Director of the Center for Artificial Intelligence Research and Education), who will share his expertise in AI for medical imaging, automated machine learning (AutoML) and agentic AI with the goal of democratizing AI in healthcare.
The event will open with remarks by Dr. Steven Leach, the Interim Dean of Dartmouth Geisel School of Medicine and include discussions on AI leadership, research frontiers, and industry collaborations.
Registration
Register now for the CPHAI Symposium to engage with leading experts in AI and healthcare. With limited spaces, this event offers unique learning and networking opportunities. Contribute to the future of precision health by simply filling out the form below.
Venue
Hanover Inn DartmouthTwo East Wheelock
Hanover, New Hampshire, 03755Join us on April 17th at the Hanover Inn, Grand Ballroom.
Program
Please note that this Symposium will take place as an in-person event in Hanover and will not live-stream content for virtual participation. The meeting content will be recorded and made available on a request basis from registered members after the conference.
All presentations are scheduled to be live, in-person presentations at the date and time specified below unless noted otherwise.
Friday, APRIL 17th
8:00 - 8:55 AM
Registration and Breakfast
Welcome and Symposium Overview
8:55 - 9:00 AM
Opening Remarks by Steven Leach, MD
Interim Dean of the Geisel School of Medicine at Dartmouth
9:05 - 9: 15 AM
Barry D. Pressman, M.D., D’64, M’65, Visiting Lectureship by Jason Moore, PhD
Director of Center for AI Research and Education, Chair of Department of Computational Biomedicine, Cedars-Sinai Health Sciences University
9:15 - 10:15 AM
10:15 - 10:30 AM
Coffee Break
Advancing AI for Medicine: Research, Innovation, and Impact
Jason Moore, PhD (Director of Center for AI Research and Education at Cedars-Sinai Health)
Randa Perkins, MD (Chief Health Information Officer at Dartmouth Health)
Parth Shah, MD (Director of Genome Informatics at Dartmouth Health)
Jessica Sin, MD (Vice Chair of Research of the Department of Radiology at Dartmouth Health)
Thomas Thesen, PhD (Associate Professor of Medical Education at Dartmouth College)
Moderator: Saeed Hassanpour, PhD (Director of Center for Precision Health and AI at Dartmouth College)
10:30 - 12:00 PM
12:30 - 12:05 PM
Closing Remarks
Keynote Presentations
Jason Moore, PhD
Cedars-Sinai Medical Center
Dr. Jason Moore is Chair of the Department of Computational Medicine at Cedars-Sinai Medical Center, where he serves as Director of the Center for Artificial Intelligence Research and Education. He leads an active research program focused on the development and application of AI algorithms for the analysis of biomedical data. Recent work focuses on methods for automated machine learning (AutoML) and agentic AI with a goal of democratizing AI in healthcare. He is an elected fellow of the American College of Medical Informatics, the American Medical Informatics Association, the International Academy of Health Sciences Informatics, and the American Statistical Association.
Opening Remarks
Steven Leach, MD
Interim Dean of the Geisel School of Medicine at Dartmouth
Research Panel
Jason Moore, PhD
Chair of Department of Computational Biomedicine at Cedars-Sinai Medical Center
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Dr. Jason Moore is Chair of the Department of Computational Medicine at Cedars-Sinai Medical Center where he serves as Director of the Center for Artificial Intelligence Research and Education. He leads an active research program focused on the development and application of AI algorithms for the analysis of biomedical data. Recent work focuses on methods for automated machine learning (AutoML) and agentic AI with a goal of democratizing AI in healthcare. He is an elected fellow of the American College of Medical Informatics, the American Medical Informatics Association, the International Academy of Health Sciences Informatics, and the American Statistical Association.
Randa Perkins, MD
Chair of Radiology at Dartmouth Health
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Dr. Randa Perkins, MD, MBA, FAMIA is a physician executive and clinical informaticist serving as Chief Health Information Officer at Dartmouth Health. A board-certified family physician with extensive experience in clinical informatics, she leads enterprise strategy at the intersection of care delivery, technology, and organizational transformation. Dr. Perkins’ work focuses on designing human-centered digital systems that measurably improve patient outcomes and clinician experience. She has led large-scale EHR and digital transformation initiatives, developed governance frameworks for responsible adoption of artificial intelligence, and built multidisciplinary informatics programs spanning clinical operations, research, and education. Her leadership emphasizes pragmatic implementation — translating emerging technologies such as ambient documentation, predictive analytics, and interoperability networks into reliable tools that support real clinical work. Nationally, she contributes to the advancement of informatics practice through speaking, teaching, and collaborative standards efforts, with particular interest in operationalizing AI safely within academic health systems. She is passionate about aligning technology with frontline workflows and ensuring informatics delivers demonstrable value rather than additional burden.
Jessica Sin, MD
Vice Chair of Research of the Department of Radiology at Dartmouth Health
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Jessica M. Sin is a radiologist and Assistant Professor of Radiology at the Geisel School of Medicine in Hanover, NH, USA. She received her M.D. from Stanford School of Medicine. Dr. Sin completed her residency in Radiology at Stanford Hospital and Clinics and her fellowship in musculoskeletal radiology at the University of Wisconsin. She currently serves as the Section Chief of Musculoskeletal Imaging and Intervention and the Vice Chair of Research for the Department of Radiology at Dartmouth Health. Dr. Sin also serves as the Clinical Associate Director for Radiology for the Center for Precision Health and AI (CPHAI). Dr. Sin’s interests include AI applications in orthopedic oncology imaging and body composition analysis and education in AI for radiologists.
Thomas Thesen, PhD
Associate Professor of Medical Education at Dartmouth College
Parth Shah, MD
Director of Genome Informatics, Hematology, Dartmouth Health
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Parth Shah, MD is a physician-scientist and the Director of Genome Informatics at Dartmouth Hitchcock Medical Center. He spearheaded the creation of the Dartmouth Cloud, a HIPAA-compliant platform designed to support both clinical workloads and research development. He also co-led the design and implementation of a clinical genomics informatics suite for somatic exome and transcriptome sequencing, covering all solid and hematological cancers. Additionally, he serves as an Assistant Professor at the Geisel School of Medicine at Dartmouth and holds board certifications in Hematology, Medical Oncology, and Internal Medicine.
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Dr. Saeed Hassanpour is the Founding Director of Dartmouth Center for Precision Health & Artificial Intelligence (CPHAI) and a Professor in the Departments of Biomedical Data Science, Computer Science, and Epidemiology at Dartmouth. His research is focused on building novel machine learning and multimodal data analysis methods to inform precision health, and his lab has been a pioneer in advancing digital pathology through deep learning methodologies. Dr. Hassanpour has led multiple NIH-funded research projects on developing new machine learning models for medical image analysis and clinical text mining to improve diagnosis, prognosis, and personalized therapies. His research has resulted in numerous publications, software, and datasets that are widely recognized and have received multiple awards, including the 2019 Agilent Early Career Professor Award for breakthroughs in digital pathology. Dr. Hassanpour currently serves as a standing member on multiple national and international scientific panels and committees, such as NIH's Clinical Data Management and Analysis (CDMA) Study Section and the JAMIA Open Editorial Board. Before joining Dartmouth, he worked as a Research Engineer at Microsoft. Dr. Hassanpour received his PhD in Electrical Engineering with a minor in Biomedical Informatics from Stanford University and completed his postdoctoral training at the Stanford Center for Artificial Intelligence in Medicine and Imaging.