• Skip to primary navigation
  • Skip to main content
  • Skip to footer
Longevity & Healthy Aging Research Consortium

Longevity & Healthy Aging Research Consortium

Longevity & Healthy Aging Research Center

Logevity and Healthy Aging
  • Home
  • About Us
    • Contact Us
  • Leadership
  • Education
    • Research Methodology Podcasts
    • Webinar: Receiver Operating Characteristic Curve (ROC) Analysis for Prediction Studies
    • Webinar: Moderator, Mediators et al: Toward Understanding Heterogeneity
  • Publications
  • News and Accomplishments
  • How to Help

Questions & Answers

Research Methodology Podcast

Amet venenatis urna cursus eget nunc
Ornare quam viverra orci sagittis eu volutpat odio. Viverra tellus in hac habitasse platea dictumst vestibulum. Senectus et netus et malesuada fames ac turpis egestas. Amet venenatis urna cursus eget nunc. Tempus imperdiet nulla malesuada pellentesque elit eget gravida cum.
Mi tempus imperdiet nulla malesuada
Curabitur vitae nunc sed velit dignissim sodales ut eu sem. Egestas integer eget aliquet nibh praesent tristique. Aliquam malesuada bibendum arcu vitae elementum curabitur vitae.
Odio eu feugiat pretium nibh
Curabitur vitae nunc sed velit dignissim sodales ut eu sem. Egestas integer eget aliquet nibh praesent tristique. Aliquam malesuada bibendum arcu vitae elementum curabitur vitae.
Senectus et netus et malesuada fames ac
Curabitur vitae nunc sed velit dignissim sodales ut eu sem. Egestas integer eget aliquet nibh praesent tristique. Aliquam malesuada bibendum arcu vitae elementum curabitur vitae.
Egestas purus viverra accumsan in nisl
Curabitur vitae nunc sed velit dignissim sodales ut eu sem. Egestas integer eget aliquet nibh praesent tristique. Aliquam malesuada bibendum arcu vitae elementum curabitur vitae.
Mi tempus imperdiet nulla malesuada
Tempor id eu nisl nunc mi ipsum faucibus. Gravida arcu ac tortor dignissim convallis aenean et tortor. Volutpat lacus laoreet non curabitur. Ullamcorper malesuada proin libero nunc.
Odio eu feugiat pretium nibh
Curabitur vitae nunc sed velit dignissim sodales ut eu sem. Egestas integer eget aliquet nibh praesent tristique. Aliquam malesuada bibendum arcu vitae elementum curabitur vitae.
Senectus et netus et malesuada fames ac
Curabitur vitae nunc sed velit dignissim sodales ut eu sem. Egestas integer eget aliquet nibh praesent tristique. Aliquam malesuada bibendum arcu vitae elementum curabitur vitae.
Egestas purus viverra accumsan in nisl
Curabitur vitae nunc sed velit dignissim sodales ut eu sem. Egestas integer eget aliquet nibh praesent tristique. Aliquam malesuada bibendum arcu vitae elementum curabitur vitae.
Odio eu feugiat pretium nibh
Curabitur vitae nunc sed velit dignissim sodales ut eu sem. Egestas integer eget aliquet nibh praesent tristique. Aliquam malesuada bibendum arcu vitae elementum curabitur vitae

Submit your Questions here

View All Podcasts

Share this:

  • Click to share on Facebook (Opens in new window) Facebook
  • Click to share on X (Opens in new window) X

Longevity Medicine and Healthy Aging

Connect with us

  • Facebook
  • LinkedIn
  • Twitter

Footer

Stanford Medicine

  • About
  • Contact
  • Maps & Directions
  • Careers

 

  • Basic Science Departments
  • Clinical Science Departments
  • Academic Programs

Healthcare

  • Stanford Health Care
  • Stanford Children’s Health
  • Clinical Trials
  •   Find People
  •   Visit Stanford
  •   Search Clinical Trials
  •   Give a Gift

Copyright © 2025 Stanford Medicine
Privacy Policy | Terms of Use

Next-Generation Artificial Intelligence for Diagnosis: From Predicting Diagnostic Labels to "Wayfinding"

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).