By: Jaimie Patterson

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Illustration of a hand feeding patient information into an "in" box attached to a computer, which prints a message out of an "out" box.

AI-written patient messages could boost innovation in clinical care, study shows

Johns Hopkins researchers show that large language models can generate realistic patient data for training AI models without compromising individual privacy.

A diagram showing a surgeon, three actions (clip the cystic artery, resect gallbladder from liver bed, and dissect Calot's triangle) with RAS-RT, robot action, and confidence blocks after, leading to a risk-avoidance system block that loops back to an autonomy switch and then back to the surgeon.

Beyond assistants: How AI could enable surgical robots to think and act autonomously

Multimodal training promises smarter, safer robotic surgery.

Headshot of Michael Schatz.

Michael Schatz among world’s most cited researchers

The annual list from Clarivate Analytics recognizes researchers whose publications rank in the top 1% of citations.

Two surgical robot arms hold and tie suture material in a simulated surgical setting.

Robot that watched surgery videos performs with skill of human doctor

A breakthrough training system utilizing imitation learning opens a “new frontier” in medical robotics.

Headshot of Muyinatu A. Lediju Bell.

Muyinatu Bell to develop imaging software for ARPA-H-funded lung cancer project

The $13 million award from the Advanced Research Projects Agency for Health will go toward developing a transformative diagnostic tool for lung cancer detection.

AI conceptual image.

AI brings autonomous procedures closer, but surgeons still key

A Johns Hopkins briefing explores the evolving role of robotics and artificial intelligence in surgery.