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Headshot of Naresh Nandakuma.

PhD student Naresh Nandakumar wins Best Paper Award at MICCAI workshop

He won the "Best Paper Award" at the 3rd International Workshop on Machine Learning in Clinical Neuroimaging (MLCN 2020), held in conjunction with MICCAI 2020.

Wooden blocks form the shape of the human brain in front of a teal background.

With a little help from AI

In a new course offered by computer scientist Mathias Unberath, engineering students design AI systems that integrate seamlessly into human lives.

Doctors gather around a patient's bed in the background. In the foreground, a monitor displaying the patient's vital signs.

AI Can Help Hospitals Triage COVID-19 Patients, CS’s Suchi Saria, IEEE Spectrum

As the coronavirus pandemic brings floods of people to hospital emergency rooms around the world, physicians are struggling to triage patients,...

Microscopic rendering of the coronavirus COVID-19.

Malone researchers publish socioeconomic dataset for predictive modeling of COVID-19

Mathias Unberath, assistant research professor in the Malone Center, and team have published an open-source, machine readable dataset related to socioeconomic...

Symposium attendees watch a robotics demonstration.

Practical uses for artificial intelligence in healthcare

Research symposium at Johns Hopkins explores how clinicians can get the most out of advancements in digital health.

Students pose with their final projects for Machine Learning: Deep Learning in Hackerman Hall.

Deep learning course prepares students for success in AI careers

Machine Learning: Deep Learning, taught by Mathias Unberath, introduces students to deep learning, a subdiscipline of AI in which a computer tries to discover meaningful patterns from data to make decisions.