Work

Artificial intelligence in melanoma diagnosis: ethical considerations and clinical implementation

Year: 2025

Type: article

Abstract: The use of artificial intelligence (AI) in dermatology, particularly for the diagnosis of melanoma, has demonstrated potential in improving early detection of cancer. Current AI-based systems, such as DermaSensor and Nevisense, have shown high sensitivity. In addition, open-source models like All Data Are Ext (ADAE) continue to show promise. Ethical, practical, and privacy concerns remain despite these advancements. Key challenges with these models include maintaining transparency with patients, ensuring privacy of patient data, and addressing discrepancies between AI and clinical determinations. Additional research, regulatory guidance, and open conversations are necessary to realize AI's full potential in the field of dermatology while preserving patient trust.

Source: Baylor University Medical Center Proceedings

DOI: 10.1080/08998280.2025.2489873

Authors: Kritin K. Verma, Kurt M. Grabow, Ryan S. Koch, Daniel P. Friedmann, Michelle B. Tarbox

Institutions: Texas Tech University, Texas Tech University Health Sciences Center, Texas A&M University, Westlake Health Center

Language: English

Topic: Cutaneous Melanoma Detection and Management

Subfield: Oncology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W4410092810

FWCI: 0.745

Cites: 7

Cited by: 2

Related to: 10