In: Machine Learning and Artificial Intelligence

A graphic of an eye overlaid with green and blue Matrix code.

Johns Hopkins researchers receive Retina Society grant

The research team has received funding from the Retina Society to automate the early detection of sickle cell retinopathy.

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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.

Virtual stethoscope recordings from biomechanics simulations (left) can be used to develop an algorithm which can accurately recognize acoustic features of heart sounds from healthy (right; top) and stenotic (right; bottom) aortic valves. This technology can alleviate the diagnostic subjectivity of manual auscultation and enable at-home, inexpensive self-monitoring.

Computer-assisted auscultation proves effective at detecting early-stage heart disease

Johns Hopkins mechanical engineers have developed an algorithm that “listens” to heart sound recordings and detects heart disease with an accuracy that is similar to that of expert cardiologists.