The face of healthcare is changing - innovative technologies, based on recent advances in artificial intelligence, are radically altering how care is delivered. Startups are offering entirely new ways to diagnose, manage, treat, and operate. Few ever reach the patient - those that do have much more than an idea and an algorithm; they have an intimate understanding of the healthcare landscape and the technical knowhow to successfully integrate AI solutions into the medical system. 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. Please see the syllabus for more information. We encourage students of all backgrounds to enroll- the only prerequisite is a strong passion for technology in healthcare. Syllabus: rebrand.ly/aihealth
Date | Topics | Guest | Recording |
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April 1st | Class overview: Class logistics, project information, and introduction to artificial intelligence in healthcare. |
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TBD |
April 8th | The healthcare landscape: Stakeholders and major players. |
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TBD |
April 15th | The healthcare landscape: Current tools and techniques |
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TBD |
April 22nd | Healthcare innovation: Practical considerations and common pitfalls |
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TBD |
April 29th | Healthcare innovation: Integrating and scaling technologies within large healthcare systems |
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TBD |
May 6th | Technologies on the horizon: Artificial intelligence solutions to common healthcare problems |
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TBD |
May 13th | Technologies on the horizon: Upcoming companies, problem areas, and policy breaks |
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TBD |
May 20th | Case Study: Verata Health (aq. Olive Health) |
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TBD |
May 27th | Case Study: Livongo Health (IPO 2019, aq. Teledoc Health) |
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TBD |
June 3rd | Student Presentations: Short medical technology venture pitches | TBD |