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Suchi Saria poses with a laptop displaying the TREWS dashboard.

Sepsis detection platform prevents thousands of deaths

National Science Foundation funding helped Suchi Saria develop and launch a lifesaving early warning system that uses artificial intelligence to catch sepsis infections before they become deadly.

Exterior of Malone Hall.

Malone Center members tackle existential challenges related to assurance, autonomy

Selected for the Johns Hopkins Institute for Assured Autonomy’s Challenge Grants, their teams are now completing work that began in 2023.

A doctor observes chest X-rays in a dark room.

Explain yourself: Designing AI for better human-machine teaming

A new study by Hopkins researchers finds that doctors’ diagnostic performance and trust in AI advice depends on how the AI assistant explains itself.

Computer rendering of blood cells.

Johns Hopkins team awarded funding for non-invasive anemia test

The $1.7 million grant from the Bill & Melinda Gates Foundation will help the researchers to develop a low-cost point-of-care tool for anemia screening.

Illustration of a hand feeding patient information into an "in" box attached to a computer, which prints a message out of an "out" box.

AI-written patient messages could boost innovation in clinical care, study shows

Johns Hopkins researchers show that large language models can generate realistic patient data for training AI models without compromising individual privacy.

Two surgical robot arms hold and tie suture material in a simulated surgical setting.

Robot that watched surgery videos performs with skill of human doctor

A breakthrough training system utilizing imitation learning opens a “new frontier” in medical robotics.