By: Jaimie Patterson

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A close-up photo of a doctor taking notes on a clip board.

In others’ words: Using large language models to accurately analyze doctors’ notes and improve the reliability of real-world AI applications

Johns Hopkins and Columbia University computer scientists teamed up to combat the inaccurate correlations that artificial intelligence and machine learning models learn from text data.

A person tests out the da Vinci Research Kit.

Could an electric nudge to the head help your doctor operate a surgical robot?

A Johns Hopkins study finds stimulating people’s brains with gentle electric currents can boost learning.

Headshot of Bisi Bell.

Optica elects Muyinatu A. Lediju Bell as 2024 Fellow for innovations in photoacoustic imaging

The award acknowledges her pioneering contributions to photoacoustic imaging techniques and their applications for surgical guidance.

The Circlage dashboard on a MacBook Pro laptop screen.

AI, the new surgical mentor

A collaboration with researchers at the University of Maryland, Baltimore, Circlage is a cloud-based surgical video analysis platform designed to standardize, critique, and train surgeons on designated procedures.

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.