AI Resilience Report forSurgeons, All Other

Right now, AI in surgery is mostly about augmentation, not replacement — meaning it helps surgeons rather than taking over their job. According to the American College of Surgeons, AI offers a unique opportunity to transform the way complex care is delivered, integrating preoperative diagnostics, intraoperative guidance, and postoperative monitoring into a coordinated system that can reduce delays and streamline critical decision-making, as described in the ACS Bulletin's January 2026 piece on the "AI Avalanche" ^[1]. That same article notes advanced imaging now provides rapid 3-D reconstructions in the OR, while robotics paired with AI analytics enable detailed assessments of surgical technique and performance.

On the autonomy front, big leaps are happening — but in labs, not patients. New Atlas reported ^[2] that Johns Hopkins researchers built a system called SRT-H that conducted a gallbladder removal on its own with just voice commands, like a theater team assisting the lead surgeon, absorbing its training and adjusting in real-time when needed. Still, this was done on a realistic model — not a living patient.

Surgeons themselves are using AI more for paperwork than for cutting. The AMA's 2026 physician survey ^[3] found doctors most often use AI for summaries of medical research and standards of care (39%), creation of discharge instructions, care plans or progress notes (30%), documentation of billing codes and medical charts (28%), and chart summaries (28%) — exactly the kinds of admin-heavy tasks O*NET flags as automatable for surgeons.

Adoption will likely be fast in back-office tasks and slow in the operating room itself. Deloitte's 2026 research ^[4] found over 80% of health care executives expect both agentic AI and generative AI to deliver moderate-to-significant value across clinical, business, and back-office functions in 2026, and more than 80% of health systems are prioritizing agentic AI for clinical operations and care delivery, as well as revenue cycle management. That fits the AMA finding that seven in 10 physicians see AI as a tool to automate tasks that contribute to work-related burnout ^[3].

But for actual surgical decisions, big hurdles slow things down. Doctors are cautious — 88% reported at least some concern about AI-related skill loss, and 70% are "very" or "somewhat" concerned about loss of physician skills among students and residents being trained today. Regulation is another roadblock: a May 2026 analysis from Frontiers in Science ^[5] warns that AI must sustain — not disrupt — operating rooms, with use safeguarded by robust human and regulatory oversight, and surgeons remaining chief decision-makers.

The ACS also raises liability questions: if a critical negative event occurs, who is responsible — the manufacturer, the software, the hospital, or the surgeon?