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Four overlays of a simulated pelvic X-ray image. The top left has no overlay. The top right has anatomical landmarks labeled. The bottom left shows semantic segmentation annotations for the bones and orthopedic hardware. The bottom right are more specific segmentations for bony corridors that the procedure is targeting.

X-ray vision: Tech could improve efficiency of pelvic fracture surgery

Johns Hopkins researchers harness the power of machine learning to develop a first approach to X-ray-guided surgical phase recognition.

TIME Best Inventions 2023.

Malone faculty behind one of TIME’s Best Inventions of ’23

TREWS predicts patients’ risk of sepsis.

3D render illustration of a group of tablets and touchscreen smartphones with various internet applications with colorful interfaces, icons, and buttons isolated on a white background.

Johns Hopkins researchers make the case for social media standards on suicide

Johns Hopkins researchers call for the establishment of guidelines that prescribe how modern social media platforms should share pro-social, life-saving education and remove harmful content.

A technology-themed circular graphic projecting a digital brain.

Putting trust to the test

Hopkins researchers unveil new uncertainty quantification methods in an effort to promote appropriate trust in AI use.

Headshots of Chien-Ming Huang and Paul Yi.

Malone faculty win DELTA Award

Their winning proposal will receive up to $75,000 to help innovate learning through technology.

Benjamin Killeen gestures to a tablet in the Mock OR.

Synthetic data for AI outperform real data in robot-assisted surgery

While artificial intelligence continues to transform healthcare, the tech has an Achilles heel: training AI systems to perform specific tasks requires...