Skip to main content Skip to secondary navigation

AIMI NextGen Tech Talks

Main content start

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.

Launch Event

Join us for the launch of Stanford AIMI's exciting new webinar series tailored towards high school students interested in the exciting field of AI in medicine and health. Dr. Curt Langlotz, Director of the AIMI Center, will share about his professional journey and the future of AI in medicine. There will also be a Q&A session with Dr. Langlotz, moderated by Taylor Tam and Sarah Pan, current high school students and former AIMI Center research interns. We will also share details about our 2024 summer research internship program for high school students. Hope to see you there!

Date: Monday, November 13, 2023, at 5:00-5:45pm Pacific Time
Format: Live webinar presentation and Q&A
Registration: Free and open to all ages

Watch Recording Here

Speaker Bio

Curtis Langlotz, MD, PhD, is a distinguished Professor of Radiology, Medicine, and Biomedical Data Science at Stanford University. Leading a groundbreaking research laboratory, he focuses on utilizing deep neural networks and machine learning technologies to enhance disease detection and reduce diagnostic errors by analyzing medical images and clinical notes. Dr. Langlotz also holds key roles as the Associate Director of Stanford’s Institute for Human-Centered Artificial Intelligence and serves as the Director of the Center for Artificial Intelligence in Medicine and Imaging (AIMI Center). In these capacities, he oversees interdisciplinary artificial intelligence research involving over 150 Stanford faculty members, optimizing the utilization of clinical data to advance healthcare. Additionally, as Associate Chair for Information Systems and a Medical Informatics Director for Stanford Health Care, he oversees the computer technology supporting Stanford Radiology, including an extensive database of 8 million imaging studies.

With a rich academic background from Stanford University, including degrees in Human Biology, Computer Science, Medicine, and Medical Information Science, Dr. Langlotz has made significant contributions to the field. He has authored over 150 scholarly articles and a notable book, "The Radiology Report: A Guide to Thoughtful Communication for Radiologists and Other Medical Professionals." Dr. Langlotz has played pivotal roles in developing industry standards, such as RadLex™ terminology, and has received prestigious awards like the Lee B. Lusted Research Prize and the Career Achievement Award for his outstanding contributions to medical decision-making research and healthcare services. He has also founded healthcare information technology companies, exemplifying his commitment to advancing the healthcare industry through innovation and expertise.