Utah first state to let Nolla Health AI prescribe acne creams

Utah's approval runs through the state's AI Learning Lab sandbox, a program that gives AI firms relief from state laws to test products under supervision — and the Utah Office of Artificial Intelligence Policy is explicit that participation is not an endorsement, certification or approval of the product. The pilot is being rolled out in three stages rather than one. Two physicians will approve every AI-generated prescription for at least the first 100 patients; only if there are no serious problems does the AI begin issuing prescriptions directly, with physicians reviewing after the fact, across 500 patients; the final stage cuts human review to at least 10% of automated prescriptions each month.

The app itself, Nolla Derm, is available on iOS devices and is aimed strictly at topical acne creams. Patients go through an intake, then describe their condition and upload a facial scan; the AI picks a medicine from a shortlist of physician-approved topical treatments, and anything outside its strict limits goes to a licensed human physician. The app also tracks progress with a daily skin scan and updates treatment plans monthly.

The company frames acne as a proof of concept rather than the destination. Chief Medical Adviser Zaid Fadul said the startup would look at other well-understood, remotely assessable conditions with strong medication safety profiles — naming the flu and uncomplicated urinary tract infections — and he expects that in ten years AI will manage a large part of routine healthcare checks, while not handling serious conditions, life-changing diagnoses, major procedures or high-risk medications. He singled out stimulants, opioids and benzodiazepines as too risky for AI to prescribe because humans might try to manipulate the models doing the assessments, and said sufficient evidence and safeguards for autonomous prescribing of such drugs may take a long time. Whether the model ever reaches those drugs depends on the pilot clearing its staged review thresholds first.