Artificial Intelligence in Medicine and Healthcare Ventures

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, 11:30AM-12:30PM); or two units, which entails attending discussion section in a Lean LaunchPad-style training program (12:30PM-1:20PM) 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.