Artificial Intelligence in Medicine and Healthcare Ventures

PSYC180 | MED180 - Winter 2025




There is nothing more powerful than an idea whose time has come
             -Victor Hugo

Course Information

  • Location: Building 380, Rm 380C
  • Zoom: Available in Canvas
  • Time: Mondays 2:30pm - 4:20pm
  • Contact: [email protected]
  • Office Hours : Send email (eadeli[at]stanford.edu) Gates Building Rm 300
  • Auditing: If you are interested in auditing the class, please fill out this form. You are welcome to join the class sessions in person.
  • Description:

    The face of healthcare is changing - innovative technologies, based on recent advances in artificial intelligence (AI), are radically altering how care is delivered. Startups are offering entirely new ways to diagnose, manage, treat, and operate. However, few ever reach the patient - those with much more than an idea and an algorithm; they have an intimate understanding of the healthcare landscape and the technical know-how to integrate AI solutions into the medical system successfully.

    In this course, we tackle the central question: How can young students find feasible and impactful medical problems, and build, scale, and translate technology solutions into the clinic? Together, we will discover the transformative technologies of tomorrow that we can build today.

    We encourage students of all academic backgrounds to enroll; the only prerequisite is a strong passion for technology in healthcare. Course may be taken for one unit (lecture only, 2:30PM-3:30PM); or two units, which entails attending discussion section in a Lean LaunchPad-style training program (3:30PM-4:20PM) and completing a project. The second half of each session, we will have a flipped classroom and will do experiential and team-based learning. It will involve discussions about team building, AI/Healthcare business ideas, and idea presentations.

    Grading criteria for 1-credit students will be based on attendance and weekly reports regarding the summary of each week's lectures (assignments). In addition to these criteria, 2-credit students will submit a business idea report and will deliver a pitch presentation in the last session in front of an invited panel.

  • Previous Editions of the Class: Spring 2023 and Spring 2021.
  • Instructor

     




    Assistants

     

    Syllabus and Schedule

    Week Date Activity type Speaker Topic
    1 01/06/2025 Instructor Lecture

    Ehsan Adeli, Course Instructo
    Introduction, Couse Overview, U.S. Healthcare System Overview, and Opportunity Evaluation

    PDF Download: Healthcare AI Enters the Mainstream
    2 01/13/2025 Invited Lecture

    Kevin Schulman, Professor of Medicine and of Operations, Information and Technology at Stanford’s Graduate School of Business
    Healthcare Landscape, current tools, techniques, and pitfalls; Economics of healthcare

    PDF Download: Healthcare Tech Regulatory Landscapem
    3 01/20/2025 Holiday Martin Luther King, Jr., Day (holiday, no classes)
    4 01/27/2025 Invited Lecture
    Nigam Shah, Cheif Data Scientist at Stanford Health Care and Professor of Medicine at Stanford University
    The Healthcare Landscape; Current tools and techniques! Hear from SHC's Chief Data Scientist

    PDF Download: Data Science at SHC
    5 02/03/2025 Invited Lecture
    Mar Hershenson, Founding Managing Partner at Pear VC
    Technologies on the Horizon, How to know your idea is worth pursuing, hear from a Spanish-American venture capitalist, electrical engineer, professor, and business executive
    6 02/10/2025 Invited Lecture
    Jay Rughani, Partner at Andreessen Horowitz | Health/ Bio
    Healthcare Innovation, Practical considerations and common pitfalls
    7 02/17/2025 Holiday Presidents' Day (holiday, no classes)
    8 02/24/2025 Invited Lecture
    Marcella Garcia, Advisor Regulatory and Compliance - Medical Device
    Healthcare Tech Landscape from a regulatory point of view: A discussion around Medical Devices, Software as a medical device (SaMD), FDA, Quality, etc.
    9 03/03/2025 Invited Lecture
    Fei-Fei Li, Professor at Stanford, Cofounder & CEO of WorldLabs
    Case Study: Leading development and commercialization of advanced machine learning, AI, computer vision, diagnostic and digital health technologies
    10 03/10/2025 Invited Lecture
    Jen Asher, CEO at 1910Genetics
    Case Study: Healthcare and Biomedicine Innovation, Integrating and scaling technologies within large healthcare systems, hear from 1910 Genetics CEO
    11 03/17/2025 Student Activity Students Projects Presentations

    Resources

    Reading List