{"id":15282,"date":"2026-07-23T12:05:17","date_gmt":"2026-07-23T06:35:17","guid":{"rendered":"https:\/\/mdforlives.com\/blog\/?p=15282"},"modified":"2026-07-23T12:05:17","modified_gmt":"2026-07-23T06:35:17","slug":"ai-in-dermatology","status":"publish","type":"post","link":"https:\/\/mdforlives.com\/blog\/ai-in-dermatology\/","title":{"rendered":"Faster Triage, Higher Risk? What Dermatologists Really Think About AI in Dermatology"},"content":{"rendered":"

A dermatology referral queue is full. Some lesions are benign. Some are urgent. Some images are unclear. Somewhere in that queue could be the case that should not wait.<\/span>\u00a0<\/span><\/p>\n

This is where AI in dermatology becomes both promising and uncomfortable.<\/span>\u00a0<\/span><\/p>\n

The promise is obvious: faster triage, better use of dermatologist time, smoother\u00a0teledermatology\u00a0workflows, and more efficient documentation. But the discomfort is just as real. If an AI tool misses a dangerous lesion,\u00a0overflags\u00a0low-risk cases, performs unevenly across skin tones, or creates uncertainty around liability, efficiency becomes only half the story.<\/span>\u00a0<\/span><\/p>\n

The MDForLives dermatologist pulse captures this exact tension. Dermatologists are not rejecting AI. Many are already using it. But they are drawing a careful boundary between workflow support and clinical decision-making.<\/span>\u00a0<\/span><\/p>\n

The clearest insight: AI in dermatology is improving how work is managed, but not yet resolving the risks attached to clinical judgment.<\/span><\/p>\n

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