Welcome to Stanford Medicine Center for Longevity and Healthy Aging
Instructor Department of Biomedical Data Science Dr. Tamang is the Assistant Faculty Director, Data Science, at the Stanford Center for Population Health Science and an Instructor at the Department of Biomedical Data Science. As a computer scientist with training in biology, health services research and biomedical informatics, Dr. Tamang works with interdisciplinary teams of experts…
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…
Assistant Professor, Georgia State University Dr. Juan M. Banda, PhD is a computer scientist and a SAGE Center awardee at Georgia State University. Previously, Dr. Banda was a research scientist and a postdoctoral data science research fellow at Stanford University in the Stanford Center for Biomedical Informatics Research. His research combines machine learning, computer vision,…
Instructor, Cardiovascular Institute, Instructor, Medicine https://profiles.stanford.edu/kevin-alexander Dr. Kevin Alexander is an advanced heart failure and transplant cardiologist at Stanford University School of Medicine. He is also a member of the Stanford Amyloid Center and Stanford Cardiovascular Institute. He completed his internal medicine residency training at Johns Hopkins Hospital and cardiology fellowship at Brigham and Women’s…
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 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…
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).
