In: Machine Learning and Artificial Intelligence

Blue and white picture of MRI brain scans.

Johns Hopkins partners with Microsoft to enhance AI for radiology

Computer engineers and radiologists from the Malone Center for Engineering in Healthcare have teamed up with Microsoft to enhance the AI capabilities offered by Microsoft's Azure cloud computing system.

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

AI speeds sepsis detection to prevent hundreds of deaths

The new system identifies patients at risk for the illness, which is notoriously difficult to detect and develops quickly.

Mathias Unberath and Therese Canares.

Mathias Unberath receives grant from Bisciotti Foundation Translational Fund

The grant funds will go toward developing software that can diagnose strep throat based on a cellphone photo.

A circular puzzle depicting a young doctor attending to an older adult and a glowing brain. There are puzzle pieces missing, revealing other medical stock imagery.

New $20 million grant will help Johns Hopkins develop technologies for healthy aging

Multicenter collaboration will focus on the use of artificial intelligence to improve long-term health, independence for older people.

A blue and white transparent rendering of the human brain.

A new approach to mapping the brain could make surgery safer

Doctoral student Naresh Nandakumar is developing a painless, non-invasive approach using functional magnetic resonance imaging, or fMRI, to locate the eloquent cortex.

An illustration of a silhouette of a human head with code and hexagons inside it.

Popular Deep Learning course goes beyond the fundamentals

In the popular “Machine Learning: Deep Learning" course created by Mathias Unberath, students team up to design, implement, and validate deep learning-based solutions to contemporary problems.