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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.

Suchi Saria.

A trailblazing researcher describes her path to AI and health care

A conversation with Johns C. Malone Associate Professor of Computer Science Suchi Saria, who is on a mission to augment human care with the latest in AI and machine learning technology.

CAIA researchers, from left, Vasan Yegnasubramanian, Rafael Irrizary, Alexis Battle, Jeff Leek, Sohrab Shah, and Brian Bot.

Johns Hopkins researchers launch projects under Cancer AI Alliance

The researchers are using AI to predict outcomes, individualize treatment, and protect patient privacy, transforming how cancer is understood and treated.

Malone Hall with the fountain running in front.

Malone researchers awarded $1.2 million NSF grant

The National Science Foundation awarded a Johns Hopkins team a four-year grant to develop AI capable of giving surgeons expert feedback based on videos of their performance.

A doctor holds up a glass rectangle overlaid with a plus sign and various medical symbols, "AI," and "Healthcare Technology" extending from it.

Johns Hopkins researchers demonstrate the advantages of using machine learning in medicine

New research shows how ML methods can cut costs and save lives in clinical research.