AI shows high accuracy, sensitivity, and specificity in diagnosing skin cancer, suggests study

Written By : Dr. Shravani Dali |Medically Reviewed By : Dr. Kamal Kant Kohli Published On 2024-07-03T20:30:13+05:30 | Updated On 4 July 2024 11:11 AM IST

AI shows high accuracy, sensitivity, and specificity in diagnosing skin cancer, suggests a study published in the Dermatologic Surgery.

Limited access to dermatologic care may pose an obstacle to the early detection and intervention of cutaneous malignancies. The role of artificial intelligence (AI) in skin cancer diagnosis may alleviate potential care gaps. The aim of this systematic review was to offer an in-depth exploration of published AI algorithms trained on dermoscopic and macroscopic clinical images for the diagnosis of melanoma, basal cell carcinoma, and cutaneous squamous cell carcinoma (cSCC). Adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines, a systematic review was conducted on peer-reviewed articles published between January 1, 2000, and January 26, 2023. Among the 232 studies in this review, the overall accuracy, sensitivity, and specificity of AI for tumor detection averaged 90%, 87%, and 91%, respectively. Model performance improved with time.

Despite seemingly impressive performance, the paucity of external validation and limited representation of cSCC and skin of color in the data sets limits the generalizability of the current models. In addition, dermatologists coauthored only 12.9% of all studies included in the review. Moving forward, it is imperative to prioritize robustness in data reporting, inclusivity in data collection, and interdisciplinary collaboration to ensure the development of equitable and effective AI tools.

Reference:

Jairath, Neil MD*; Pahalyants, Vartan MD, MBA*; Shah, Rohan BS†; Weed, Jason MD*; Carucci, John A. MD, PhD*; Criscito, Maressa C. MD*. Artificial Intelligence in Dermatology: A Systematic Review of Its Applications in Melanoma and Keratinocyte Carcinoma Diagnosis. Dermatologic Surgery ():10.1097/DSS.0000000000004223, May 9, 2024. | DOI: 10.1097/DSS.0000000000004223

AIhighaccuracysensitivityspecificitydiagnosingskin cancersuggestsstudy

Source : Dermatologic Surgery

Dr. Shravani Dali

Dr. Shravani Dali has completed her BDS from Pravara institute of medical sciences, loni. Following which she extensively worked in the healthcare sector for 2+ years. She has been actively involved in writing blogs in field of health and wellness. Currently she is pursuing her Masters of public health-health administration from Tata institute of social sciences. She can be contacted at editorial@medicaldialogues.in.

Dr. Kamal Kant Kohli

Dr Kamal Kant Kohli-MBBS, DTCD- a chest specialist with more than 30 years of practice and a flair for writing clinical articles, Dr Kamal Kant Kohli joined Medical Dialogues as a Chief Editor of Medical News. Besides writing articles, as an editor, he proofreads and verifies all the medical content published on Medical Dialogues including those coming from journals, studies,medical conferences,guidelines etc. Email: drkohli@medicaldialogues.in. Contact no. 011-43720751