AI Resilience Report forDermatologists

Right now, AI in dermatology is mostly augmenting what doctors do rather than replacing them. According to a Dermatology Times interview with University of Pennsylvania dermatologist Roman Bronfenbrener, artificial intelligence is becoming an increasingly common part of dermatology practice, particularly among independent physicians looking to reduce administrative workload while improving efficiency, and it's being used to streamline documentation, summarize patient records, support clinical decision-making, and improve practice operations. In other words, the tasks with the highest listed automation risk — recording health histories and counseling on routine topics — are exactly where AI is showing up first, since tools can rapidly summarize lengthy patient records, organize complex timelines, and surface key clinical details that might otherwise require reviewing hundreds of pages of documentation.

On the diagnostic side, AI is arriving as a helper, not a decider. The FDA has cleared DermaSensor, a spectroscopy tool that helps physicians non-invasively assess the cellular and subcellular features of a lesion suspected to confer skin cancer and generate an immediate, objective result, showing 96% sensitivity when detecting 224 skin cancers in a 1,000-patient study. But the hands-on tasks with very low automation scores — biopsies, laser treatments, and skin surgery — still require a human dermatologist, because current tools can't replace clinical reasoning or perform procedures ^[1].

Adoption is moving fast overall. The 2026 AMA Physician Survey ^[2] found that four in five physicians (81%) are using AI in their practices, a significant increase from 38% reported in 2023, and about 70% of respondents believe AI can help automate tasks that contribute to burnout. Dermatology is riding this wave because paperwork and prior authorizations eat into visit time, and off-the-shelf tools like ambient scribes are cheap compared to hiring more staff.

Still, several forces slow full adoption. Doctors have real concerns: potential skill loss was cited by 88% of physicians, with most of that concern focused on early-career physicians, and privacy rules mean clinicians must establish a business associate agreement with the AI vendor to maintain HIPAA compliance before uploading patient data. A recent review in Diagnostics ^[3] also notes that dermatopathology AI still needs stronger validation across diverse skin tones before it can be trusted for autonomous diagnosis.

The good news for anyone considering this career: the human parts — performing surgery, comforting worried patients, and making judgment calls on tricky cases — are exactly the parts AI is worst at, and dermatologists who learn to use these tools well will likely be more productive, not replaced.