AI in Healthcare

Students pitch transformative ideas in generative AI at MIT Ignite competition

Twelve with MIT ties elected to the National Academy of Medicine for 2023

A more effective experimental design for engineering a cell into a new state

35 Innovators Under 35: Connor Coley

How machine learning models can amplify inequities in medical diagnosis and treatment

Learning the language of molecules to predict their properties

Will artificial intelligence help — or hurt — medicine?

Machine learning model finds genetic factors for heart disease

Doctors are drowning in paperwork. Some companies claim AI can help

AI chatbots can diagnose medical conditions at home. How good are they?

MIT community members elected to the National Academy of Engineering for 2023

Neurodegenerative disease can progress in newly identified patterns

Explained: How to tell if artificial intelligence is working the way we want it to

Teaching AI to ask clinical questions

In bias we trust?

Dina Katabi Works to Bring Personalized Medicine Home

How to use AI to discover new drugs and materials with limited data

Unlocking new doors to artificial intelligence

Deep-learning technique predicts clinical treatment outcomes

Using AI and old reports to understand new medical images

Connor Coley: Using computational tools for molecule discovery

How MIT and IBM are fighting Covid-19 with AI

Marshaling artificial intelligence in the fight against Covid-19

IBM, Amazon, Google and Microsoft partner with White House to provide compute resources for COVID-19 research

AI could help design better drugs that don’t clash with other medication

Technique reveals whether models of patient risk are accurate

Want to know what software-driven health care looks like? This class offers some clues.

“Inactive” ingredients may not be, study finds