Medscape March 14, 2025
Megan Brooks

A new brain-computer interface (BCI) powered by artificial intelligence (AI) allowed a paralyzed man, who could not speak or move, to control a robotic arm to grasp and move objects simply by imagining himself performing these movements.

Notably, the BCI worked for 7 months without needing to be adjusted, compared with just a day or two for other devices.

In an interview with Medscape Medical News, neurologist Karunesh Ganguly, MD, PhD, with University of California San Francisco (UCSF) Weill Institute for Neurosciences, explained that older BCI systems use spike recordings from tiny electrodes implanted in brain tissue to record signals from single or small groups of neurons near the electrode. However, these signals are unstable due to brain movement.

...

Today's Sponsors

Venturous
ZeOmega

Today's Sponsor

Venturous

 
Topics: AI (Artificial Intelligence), Patient / Consumer, Provider, Robotics/RPA, Technology
AI-enabled clinical data abstraction: a nurse’s perspective
Contextual AI launches Agent Composer to turn enterprise RAG into production-ready AI agents
OpenAI’s latest product lets you vibe code science
WISeR in 2026: Legal, Compliance, and AI Challenges That Could Reshape Prior Authorization for Skin Substitutes
Dario Amodei warns AI may cause ‘unusually painful’ disruption to jobs

Share Article