AIMI NextGen Tech Talks
AIMI NextGen Tech Talks is an engaging live webinar series tailored for high school students interested in exploring the dynamic intersection of AI in medicine and health. This series provides an opportunity for attendees to gain valuable insights from distinguished experts in the field as they share their impactful professional journeys in shaping the future of healthcare through technology. Webinar participants will have the chance to actively engage in a live Q&A session during the webinar, fostering direct interaction with the speakers.
Upcoming Episodes
Tech Talk Episode 7: Speaker TBA!
Date: Monday, January 27th, 2025
Format: Live webinar presentation and Q&A
Registration: Free and open to all ages
Register Here
Tech Talk Episode 6: AI In Medicine - Insights from a Physician Data-Scientist
Date: Monday, November 4th, 2024 at 5:00-5:45pm Pacific Time
Format: Live webinar presentation and Q&A
Registration: Free and open to all ages
Register Here
Speaker:
- Dr. Jonathan Chen, MD, PhD, Assistant Professor of Medicine (Biomedical Informatics) and of Biomedical Data Science, Stanford University
Jonathan H. Chen MD, PhD leads a research group to empower individuals with the collective experience of the many, combining human and artificial intelligence approaches to deliver better care than either alone. Dr. Chen continues to practice medicine for the concrete rewards of caring for real people and to inspire this research focused on discovering and distributing the latent knowledge embedded in clinical data.
Before his medical training, Chen co-founded a company to translate his Computer Science graduate work into an expert system for organic chemistry, with applications from drug discovery to an education tool for students around the world. His expertise is regularly featured in popular press outlets with over 100 publications in leading clinical and informatics venues and awards from the NIH, National Library of Medicine, American Medical Informatics Association, International Brotherhood of Magicians and more.
In the face of ever escalating complexity in medicine, informatics solutions are the only credible approach to systematically address challenges in healthcare. Tapping into real-world clinical data like electronic medical records with machine learning and data analytics will reveal the community's latent knowledge in a reproducible form. By delivering this back to clinicians, patients, and healthcare systems as clinical decision support, he aims to uniquely close the loop on a continuously learning health system.