Khaled K Saab
Scholar

Khaled K Saab

Google Scholar ID: W77CiNUAAAAJ
OpenAI
Deep LearningHealthcare
Citations & Impact
All-time
Citations
3,758
 
H-index
18
 
i10-index
21
 
Publications
20
 
Co-authors
6
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Published multiple papers on medical artificial intelligence, including 'Advancing Conversational Diagnostic AI with Multimodal Reasoning' and 'Systematic Evaluation of Large Vision-Language Models for Surgical Artificial Intelligence'. His research work AMIE was published in Nature and used as a diagnostic conversational LLM that surpassed Primary Care Physicians in conversational quality & diagnostic accuracy.
Research Experience
  • Worked at OpenAI and Google DeepMind, involved in several projects related to medical artificial intelligence.
Education
  • Received PhD and MS in Electrical Engineering from Stanford in 2023 and 2019, and BS in Computer Engineering from Georgia Tech in 2017. At Stanford, I was advised by Daniel Rubin and Chris Ré.
Background
  • Currently a Member of Technical Staff at OpenAI. Previously, a Research Scientist at Google DeepMind. My current research focuses on accelerating biomedical intelligence.