Oath Surgical, Nvidia partner to bring AI to the OR

AI is all over healthcare, from inpatient rooms to everyday appointments to x-rays and imaging. Following a partnership announced on Jan. 27 between tech giant Nvidia and outpatient surgery startup Oath Surgical, AI will also enter the operating room (OR).

Oliver Keown, CEO and founder of Oath and a medical doctor from the UK, created the company with the “view of building a surgeon-led, AI-powered, and value-based model for surgery that was outpatient at its core” and didn’t just layer “broken” technology on top of the existing system.

The company has raised $35 million, he told Healthcare Brew, owns and operates three surgical centers in Portland, Oregon, and has a network of 175 surgeons and 20 ambulatory surgery centers.

Surgeries pull a lot of data across electronic health records, financial information, operating systems, inventory, and medical devices like robots and video feeds. With this new partnership, Oath is taking its technology to the next level by using this data to provide surgeons with real-time information and documentation to make procedures more efficient.

Getting technical. Oath emerged from stealth in May 2025 with a platform called OathOS. This technology system connects AI to the traditional surgical process, providing automated charting, ambient listening for clinical documentation, and convenient scheduling.

“All this information is available and at hand in an operating room and at a surgical center, but it has really never been harnessed in a sophisticated way to tell a deep, clinical, and operational picture of a surgical episode,” Keown said.

Oath’s goal is to change this. For example, the technology may interpret which supplies and drugs were used during the procedure and document it all in real time so the surgeon doesn’t have to later.

Tech giant Nvidia enters the picture with, well, pictures.

When surgeons conduct procedures, they use robotic or laparoscopic platforms to accurately move through a patient’s anatomy. This means there are videos and images that Nvidia can interpret to build more AI into the surgical process, connecting the patient’s medical history, the financial system, and outcome predictions to build the summary note.

“What Nvidia has brought to the table is really that real-time video analysis and infrastructure to support our scalable platform,” Keown said. “Over time, we’re excited that that will facilitate even deeper surgical intelligence, like prediction of outcomes at the time of surgery, supporting even more novel and exciting value-based care models.”