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Prospective evidence on AI−assisted melanoma diagnostics

03.25.26 | JAMA Network

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About The Study: In the systematic review and meta-analysis of prospective settings, AI systems perform at comparable levels to dermatologists for melanoma diagnostics and may enhance performance when used as a decision-support tool. However, the frequent risk of bias and limited generalizability of current studies highlight the need for broader validation in unselected patient populations in the clinical setting.

Corresponding Author: To contact the corresponding author, Titus J. Brinker, MD, email titus.brinker@dkfz.de .

To access the embargoed study: Visit our For The Media website at this link https://media.jamanetwork.com/

(doi:10.1001/jamadermatol.2026.0217)

Editor’s Note: Please see the article for additional information, including other authors, author contributions and affiliations, conflict of interest and financial disclosures, and funding and support.

Embed this link to provide your readers free access to the full-text article This link will be live at the embargo time https://jamanetwork.com/journals/jamadermatology/fullarticle/10.1001/jamadermatol.2026.0217?guestAccessKey=3f850446-deef-42f8-8718-411ff990479a&utm_source=for_the_media&utm_medium=referral&utm_campaign=ftm_links&utm_content=tfl&utm_term=032526

JAMA Dermatology

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Article Information

Contact Information

Jim Michalski
JAMA Network
Jim.Michalski@jamanetwork.org

How to Cite This Article

APA:
JAMA Network. (2026, March 25). Prospective evidence on AI−assisted melanoma diagnostics. Brightsurf News. https://www.brightsurf.com/news/8Y4R2KDL/prospective-evidence-on-aiassisted-melanoma-diagnostics.html
MLA:
"Prospective evidence on AI−assisted melanoma diagnostics." Brightsurf News, Mar. 25 2026, https://www.brightsurf.com/news/8Y4R2KDL/prospective-evidence-on-aiassisted-melanoma-diagnostics.html.