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How machine-learning recommendations influence clinician treatment selections: the example of the antidepressant selection

February 19, 2021
In our study with 220 clinicians, machine learning recommendations did not improve the quality of clinicians' treatment selections even though the (simulated) machine learning system was nearly twice as accurate as clinicians working on their own. Read more. Read more about How machine-learning recommendations influence clinician treatment selections: the example of the antidepressant selection

New-ish course: CS 96: (Sociotechnical) System Design Projects

July 3, 2020

This small, project-focused course tackles a different challenge each time it is offered. We have not yet finalized the topic for this fall, but we will definitely go after a societal problem that requires a sociotechnical solution, i.e., a solution that involves both a technical and a human component. There will be plenty opportunities to use our Computer Science skills, but we will need plenty of other expertise as well. 

See course web site for more...

Read more about New-ish course: CS 96: (Sociotechnical) System Design Projects
A patient conversing with a doctor via a video call on a laptop.

We have launched a Survey of Clinicians' Experiences with Telemedicine Tools During Covid-19

June 26, 2020

What aspects of telemedicine appointments can go better than in-person visits? What clever innovations do clinicians use to deliver high quality care using telemedicine? If you are a clinician who sees outpatients, share your experiences and see the responses of your colleagues. 

 

This survey takes 5-15 minutes depending on how many questions you choose to answer (all are optional). You can take it on a computer, a tablet...

Read more about We have launched a Survey of Clinicians' Experiences with Telemedicine Tools During Covid-19
Person sitting in front of a computer performing a test to quantify their motor performance.

New paper: Computer Mouse Use Captures Ataxia and Parkinsonism, Enabling Accurate Measurement and Detection

November 26, 2019
In collaboration with the Laboratory for Deep Neurophenotyping at the Massachusetts General Hospital, we developed a simple way to detect and quantify motor impairments related to neurological diseases such as ataxias and Parkinson's disease. To learn more, read... Read more about New paper: Computer Mouse Use Captures Ataxia and Parkinsonism, Enabling Accurate Measurement and Detection