In: Machine Learning and Artificial Intelligence

A close-up of a wall of computer code.

Suchi Saria featured in WebMD video on artificial intelligence

In the video, Malone Professor Suchi Saria explains the basics of AI and why AI applications can be useful for healthcare providers.

Paul Yi and Haris Sair post with a woman.

Using AI to improve radiology with RAIL

Dr. Paul Yi and Dr. Haris Sair, co-directors of RAIL, explain how the lab uses innovations in machine and deep learning to advance the field of radiology and improve doctor’s caseload.

Archana Venkataraman poses in front of a blurry monitor.

Archana Venkataraman talks AI and the brain

Venkataraman was recently interviewed by the TWIML AI Podcast on her research into artificial intelligence (AI) and the brain.

Daytime shot of Malone Hall.

Announcing 2019 Malone Seed Grant Awards

One project will explore how artificial intelligence can predict glaucoma risk; the other aims to measure how elderly patients benefit from physical activity prior to surgery.

Headshot of Suchi Saria.

The future of machine learning in healthcare

Suchi Saria and fellow researchers provide a roadmap to accelerate safe, ethically responsible applications of machine learning in healthcare in recent paper published in Nature Medicine.

Headshot of Gregory Hager.

Reimagining Patient Care in the Age of AI

Healthcare is universally seen as a (perhaps the) application where AI stands to have a dramatic impact. While AI offers tremendous promise, the reality is that moving AI from the bench to the bedside – developing an algorithm, then deploying it in a real healthcare setting – requires many steps and many hands.