By: Jaimie Patterson

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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.

A group of four young people stands around a computer. One wears glasses and has a black prosthetic arm.

Putting prosthetics research back in touch

Researchers urge the greater prosthesis engineering community to listen to end users' actual needs.

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.

African American male patient during ultrasound thyroid gland examination at the clinic.

Medical imaging fails dark skin. Researchers fixed it.

A Johns Hopkins University-led team found a way to deliver clear pictures of anyone's internal anatomy, no matter their skin tone.