Stanford Root

Schedule

Stanford Root

Schedule

CS 522

Seminar in Artificial Intelligence in Healthcare

UNITS:1
GRADING:Satisfactory/No Credit
LEVEL:Graduate
GER:—

Artificial intelligence is poised to make radical changes in healthcare, transforming areas such as diagnosis, genomics, surgical robotics, and drug discovery. In the coming years, artificial intelligence has the potential to lower healthcare costs, identify more effective treatments, and facilitate prevention and early detection of diseases. This class is a seminar series featuring prominent researchers, physicians, entrepreneurs, and venture capitalists, all sharing their thoughts on the future of healthcare. We highly encourage students of all backgrounds to enroll (no AI/healthcare background necessary). Speakers and more at https://tinyurl.com/cs522-stanford

Syllabus for selected term:
View Autumn 2026 Syllabus

Sections

1 Term
Seminar 1Open
ID: 6462
0 / 306 enrolled
DAYS:Wednesday
TIME:4:30 PM – 5:20 PM
LOCATION:Bishop Auditorium
INSTRUCTOR:
Dror, Ron
1unit

CS 522: Seminar in Artificial Intelligence in Healthcare

1 units · Satisfactory/No Credit

Artificial intelligence is poised to make radical changes in healthcare, transforming areas such as diagnosis, genomics, surgical robotics, and drug discovery. In the coming years, artificial intelligence has the potential to lower healthcare costs, identify more effective treatments, and facilitate prevention and early detection of diseases. This class is a seminar series featuring prominent researchers, physicians, entrepreneurs, and venture capitalists, all sharing their thoughts on the future of healthcare. We highly encourage students of all backgrounds to enroll (no AI/healthcare background necessary). Speakers and more at https://tinyurl.com/cs522-stanford

Offered in Autumn 2026 at Stanford University.

Autumn 2026 sections

  • Seminar — Wednesday 4:30 PM – 5:20 PM — Bishop Auditorium — Dror, Ron (Graduate)

More CS courses

  • CS 486: Advanced Large Language Models Research Seminar
  • CS 498C: Introduction to CSCL: Computer-Supported Collaborative Learning (EDUC 315A)
  • CS 499: Advanced Reading and Research
  • CS 499P: Advanced Reading and Research
  • CS 520: Knowledge Graphs
  • CS 521: Seminar on AI Safety
  • CS 523: Research Seminar in Computer Vision + X
  • CS 524: AI for Science
  • CS 525: Data for AI
  • CS 528: Machine Learning Systems Seminar
  • CS 547: Human-Computer Interaction Seminar
  • CS 802: TGR Dissertation

All CS courses · All departments