Augmented intelligence and dermatology—Part I: Core concepts and applications - 18/12/25

Doi : 10.1016/j.jaad.2024.09.090

Daniel Schlessinger, MD ^a, Justin Ko, MD, MBA ^b, Ivy Lee, MD ^c,^⁎ , Veronica Rotemberg, MD, PhD ^d, Roberto Novoa, MD ^b

^a Department of Dermatology, Northwestern University, Chicago, Illinois

^b Department of Dermatology, Stanford University, Stanford, California

^c Comprehensive Dermatology Center, Pasadena, California

^d Dermatology Service, Memorial Sloan Kettering Cancer Center, New York, New York

^∗ Correspondence to: Ivy Lee, MD, Comprehensive Dermatology Center, 625 South Fair Oaks, Suite 200, Pasadena, CA 91105. Comprehensive Dermatology Center 625 South Fair Oaks Suite 200 Pasadena CA 91105

Abstract

Recent advances, accessibility, and adoption of artificial intelligence (AI) increasingly impact dermatology. Understanding how AI is designed, developed, validated, deployed, and monitored will help learners systematically evaluate the technology, research, and clinical utility of these tools. This first of a two-part CME equips dermatologists with the fundamental knowledge of how AI is created and reviews current applications in dermatology. Through increasing AI literacy, this manuscript aims to empower dermatologists to critically analyze and co-create technologies that augment our capacity to provide evidence-based, ethical, and patient-centered care.

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Key words : artificial intelligence, augmented intelligence, computer vision, dermatology, digital health, imaging, informatics

Abbreviations used : AI, LLMs, ML, NLP

Plan

	Funding sources: None.
	Patient consent: Not applicable.
	IRB approval status: Not applicable.
	Prior publication: The contents of this manuscript have not been previously published and are not currently submitted elsewhere.
	Date of release: January 2026.
	Expiration date: January 2029.