Class 02

Industry: Healthcare

The Doctor, Patient, and AI Triangle

We examine the role of AI and machine learning in transforming healthcare globally and in the US. Specifically, we investigate how AI can change the doctor-patient interactions, and as a result, how can AI help drive patient behavioral changes.

LAB

We’ll use the d.school framework to start brainstorming possible solutions to your societal problem.  You’ll learn what machine learning (ML) can (and can’t do) and how to use ML as a prototyping tool in an analog setting. Finally, you’ll identify and reach out to key individuals in your network whom you can interview for your project.

February 27, 2019

The Guests

Amir Rubin

CEO of One Medical

DJ Patil

Head of Tech at Devoted Health

Carissa Carter

Director at Stanford d.school

Readings

Required

AI can’t replace doctors. But it can make them better [ link ]
Compassionate intelligence: Can machine learning bring more humanity to health care? [ link ]
10 Promising AI Applications in Health Care [ link ]
To Get Consumers to Trust AI, Show Them Its Benefits [ link ]

Suggested

Bedside Computer Vision — Moving Artificial Intelligence from Driver Assistance to Patient Safety  [ link ]
Improving healthcare using AI with guest Nigam Shah [ audio link ]
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