Welcome to Stanford Medicine Center for Longevity and Healthy Aging
Associate Professor Department of Psychiatry and Behavioral Sciences https://profiles.stanford.edu/gen-shinozaki Dr. Gen Shinozaki earned his MD degree from the University of Yamanashi, Japan. He has a Master’s degree in quantum optics from the University of Tokyo and in bioinformatics from the University of Iowa. He completed his psychiatry residency and consultation-liaison psychiatry fellowship both at Mayo…
Instructor Department of Medicine – Cardiovascular Medicine; Department of Pediatrics – Cardiology https://profiles.stanford.edu/shoa Dr. Clarke is a preventive cardiologist and an instructor at Stanford University School of Medicine in the Departments of Medicine and Pediatrics. He earned his undergraduate degree in human biology from the Division of Nutritional Sciences at Cornell University before obtaining his…
Assistant Professor Computer Science https://profiles.stanford.edu/jiajun-wu Jiajun Wu is an Assistant Professor of Computer Science at Stanford University, affiliated with the Stanford Vision and Learning Lab (SVL) and the Stanford AI Lab (SAIL). His research focuses on computer vision, machine learning, and computational cognitive science. Before joining Stanford, he was a Visiting Faculty Researcher at Google Research. He received…
Assistant Professor Department of Surgery (Division of Vascular Surgery) and The Stanford Cardiovascular Institute https://profiles.stanford.edu/nazish-sayed Dr. Nazish Sayed earned his MD degree from the University of Mumbai, India, and his PhD degree from Rutgers New Jersey Medical School. He has a Master’s degree in molecular biology from Montclair State University. He completed his postdoctoral fellowship…
Assistant Professor Mechanical Engineering (courtesy Computer Science) https://profiles.stanford.edu/monroe-kennedy Monroe Kennedy III is an Assistant Professor of Mechanical Engineering, with a courtesy appointment in Computer Science. He received his Ph.D. in Mechanical Engineering and Applied Mechanics and a Masters in Robotics from the University of Pennsylvania where he was a recipient of both the NSF and GEM…
Clinical Assistant Professor Department of Psychological Science, The University of Texas Rio Grande Valley Dr. Monique T. Cano is a Licensed Clinical Psychologist and received her Ph.D. in clinical psychology from Palo Alto University in 2020. She completed her NIH T32 Postdoctoral Fellowship in Substance Use Disorders Treatment and Services Research at the University of…
Julia Adler-Milstein, PhD1; Jonathan H. Chen, MD, PhD; Gurpreet Dhaliwal, MD
Improving the diagnostic process is a quality and safety priority.With the digitization of health records and rapid expansion of health data, the cognitive demand on the diagnostician has increased. The use of artificial intelligence (AI) to assist human cognition has the potential to reduce this demand and associated diagnostic errors. However, current AI tools have not realized this potential, due in part to the long-standing focus of these tools on predicting final diagnostic labels instead of helping clinicians navigate the dynamic refinement process of diagnosis. This Viewpoint highlights the importance of shifting the role of diagnostic AI from predicting labels to “wayfinding” (interpreting context and providing cues that guide the diagnostician).
