Welcome to Stanford Medicine Center for Longevity and Healthy Aging
Clinical Neuropsychologist, VA Northern California Health Care System Dr. Shivley-Scott is a clinical neuropsychologist. He received a Master’s in Clinical Psychology at California State University, Northridge and a PhD in Clinical Psychology from Fordham University. He completed a Clinical Psychology Internship at the San Francisco VA Medical Center in 2019 and then conducted a dual…
Postdoctoral Research Fellow, Neurology and Neurological Sciences Róbert Pálovics is a Postdoctoral Scholar at Neurology and Neurological Sciences at Stanford School of Medicine. He received his Ph.D. in computer science at the University of Technology and Economics in Hungary. His research leverages data from large-scale biological studies describing organisms at the cellular level and uses…
Postdoctoral Fellow Department of Genetics https://profiles.stanford.edu/214078 Dr. Xin Zhou received his Ph.D. on Genetics and Genome Sciences from University of Connecticut Health Center and The Jackson Laboratory for Genomic Medicine. He was trained under the Integrative Human Microbiome Project (https://www.hmpdacc.org/ihmp/ ) and have a particular focus on deciphering the complex interaction between human microbiome and…
Senior Machine Learning/Natural Language Processing Scientist, Vida Health Dr. Morteza Noshad received his Ph.D. in computer science from the University of Michigan in 2019 where he investigated information-theoretic methods to machine learning and deep learning. At Stanford University, he was a postdoctoral research fellow and research scientist in Jonathan Chen’s lab where he applied machine…
Assistant ProfessorMedical Center LineCenter for Biomedical Informatics Research + Division of Hospital Medicine, Stanford Department of Medicine https://profiles.stanford.edu/jonc101 Jonathan H Chen MD, PhD is a physician-scientist with professional software development experience and graduate training in computer science. He continues to practice Internal Medicine for the concrete rewards of caring for real people and to inspire…
Associate Professor Department of Cardiothoracic Surgery Department of Chemical Engineering (by courtesy) https://profiles.stanford.edu/ngan-huang Ngan F. Huang is an Associate Professor in the Department of Cardiothoracic Surgery at Stanford University and Principal Investigator at the Veterans Affairs Palo Alto Health Care System. Dr. Huang completed her BS in Chemical Engineering from the Massachusetts Institute of Technology,…
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).
