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Suchi Saria and another researcher look at figures and graphs on a large computer screen.

FDA approves early warning system for sepsis

The AI system detects deadly infections faster than doctors, saving thousands from a condition that claims more than 250,000 lives each year in the U.S.

Needle holder put on white bandage as suture set.

New AI could teach the next generation of surgeons

Doctors too busy? AI offers med students real-time expert feedback.

Alexis Battle standing with her arm propped on a whiteboard with equations and figures written on it.

AI decoder: Unlocking cancer’s hidden patterns

With her expertise in machine learning, Alexis Battle is working to sift through vast amounts of genetic and clinical data, revealing hidden patterns that can inform treatment strategies and improve patient care.

A human hand and globe is mirrored on the other side of the image with digital versions.

Digital twins for the win

Johns Hopkins researchers are exploring the use of digital twins to improve surgical workflows.

Patient setup, ventriculoscope, and ventriculoscopic display.

Augmented reality meets neuroendoscopy

Hopkins researchers bring advanced 3D visualization techniques to neurosurgery.

PanTS. Pancreatic Tumor Segmentation.

Hold on to your PanTS—there’s a new pancreatic cancer detection dataset in town

Developed by a Johns Hopkins-led research team, the Pancreatic Tumor Segmentation Dataset may be the key for training AI models to detect pancreatic cancer early enough to make a difference in patients' survival.