AI may stumble on acne diagnosis
Dermatologists rated answers on diagnosis and treatment less favorably than responses addressing skin care and lifestyle.
By
Andrea Surnit
October 2, 2026
Clinical Scorecard: AI may stumble on acne diagnosis
At a Glance
Category Detail
Condition Acne
Key Mechanisms Assessment of AI responses for appropriateness in acne-related queries.
Target Population Patients seeking information about acne management.
Care Setting Outpatient dermatology practice.
Key Highlights
65% of AI responses classified as appropriate. Highest appropriateness for skin care (83%) and lowest for diagnosis (33%). Misleading information cited as the main reason for inappropriate responses. Low inter-rater agreement among dermatologists. Caution against using AI for diagnosis or treatment without specialist oversight.
Guideline-Based Recommendations
Diagnosis
AI should not be relied upon for diagnostic guidance without dermatologist approval.
Management
Final content must always be approved by a dermatologist.
Monitoring & Follow-up
Responses should be evaluated for appropriateness and accuracy.
Risks
Misleading information and lack of risk disclosures in AI responses.
Patient & Prescribing Data
Individuals with acne seeking advice.
AI responses may not provide reliable treatment guidance.
Clinical Best Practices
Utilize AI as a supplementary tool, not a primary source for diagnosis or treatment. Ensure all AI-generated content is reviewed by a qualified dermatologist.
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