AI Resilience Report forSports Medicine Physicians

Right now, AI is mostly augmenting sports medicine physicians rather than replacing them — and most of the action is happening behind the scenes. A 2026 AMA survey of nearly 1,700 doctors found that 81% of physicians now use AI tools professionally, more than double the rate from 2023, with top uses including summarizing medical research, drafting discharge instructions, and documenting visit notes ^[1]. Ambient AI "scribes" that quietly listen during patient visits and generate notes are spreading fast — a 2026 Advisory Board briefing reports that Permanente physicians using ambient AI saved an estimated 15,791 hours of documentation time, roughly 1,800 eight-hour workdays ^[2], giving doctors more time with athletes.

On the clinical side, AI is helping with imaging and prediction. A peer-reviewed sports medicine review notes that machine learning models now outperform traditional methods at predicting patient-reported outcomes and surgical complications, while AI imaging tools produce automated measurements with expert-level precision. The FDA had authorized more than 1,039 AI-enabled radiology devices by late 2025 ^[3], many of which read the MRIs and X-rays sports doctors rely on.

Still, judgment calls — like clearing an athlete to return to play or noticing a struggling teammate's mental state — remain firmly human. As CU orthopedics professor Rachel Frank, MD explains, "I'm always going to do my exam. I'm always going to look at the imaging.

Even if I can get AI to tell me what the answer is, I still feel that I need to verify".

Adoption is happening quickly for paperwork tasks but more slowly for diagnosis and decision-making. Burnout is a big push factor: clinicians using ambient AI tools spent 8.5% less total time in the EHR and over 15% less time composing notes ^[2], which saves money and protects doctors' wellbeing. Commercial tools like DeepScribe and ambient scribe platforms are widely available and HIPAA-compliant, lowering the barrier to entry.

But several brakes are slowing full automation. Cost is one — Dr. Frank warns that if expensive technologies don't improve outcomes, it's unclear whether the patient, physician, hospital, or insurer should foot the bill. Trust is another: the AMA survey found that 88% of doctors are at least somewhat concerned about AI-related skill loss, and they emphasize data privacy and safety validation as critical before broader adoption ^[1].

Sports medicine is also a hands-on, relationship-driven field — talking with coaches, counseling athletes about nutrition, and watching for mental health red flags depend on human empathy. A recent review concludes that challenges in validation, accessibility due to cost, and ethical considerations remain, meaning the doctor's role isn't going anywhere — it's just getting smarter tools to help. If you're considering this career, that's good news: AI will likely free you to spend more time doing the human parts of medicine that machines can't match.