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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.

Blue lines connected by dots in front of an orange lens flare.

Artificial Intelligence-based Clinical Decision Support for COVID-19 – Where Art Thou?

Malone faculty discuss the notable absence of AI-based clinical decision support (CDS) in the early phases of the COVID-19 pandemic, and identify opportunities to improve "AI readiness" for future healthcare challenges.

Two X-rays of the lungs, one in grayscale and one overlaid with rainbow colors centered on the left lung.

Radiologists use deep learning to find signs of COVID-19 in chest x-rays

Johns Hopkins radiologists have found that a deep learning algorithm to detect tuberculosis (TB) in chest X-rays could be useful for identifying lung abnormalities related to COVID-19.

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...