Justin M. Ko
Researchers identified an association between family history of melanoma and the risk for melanomas on the trunk and extremities, according to a recent study reported by Healio Dermatology.
“Although holding significant potential, the path to responsible development and deployment of [artificial intelligence] models in dermatology is one that needs to be undertaken with collaborative consideration, inclusive of both physicians and patients.” Justin M. Ko, MD, MBA, director and chief of medical dermatology at Stanford Health Care, said in a perspective on research examining computer-aided design in melanoma.
Read on for four popular research articles covering cutaneous oncology.
Family history of melanoma increases risk for skin cancer
Those with a family history of melanoma had a 74% increased risk for melanoma, according to a study that followed white participants for more than 20 years. Read more.
Nonmelanoma skin cancers may be more aggressive than initial biopsy suggests
A significant proportion of nonmelanoma skin cancer cases referred for Mohs micrographic surgery showed histologic features of aggressive cancers that were not apparent on the initial biopsy, according to research in Journal of the American Academy of Dermatology. Read more.
Computer-aided design in melanoma would enhance care, not replace dermatologists
Melanoma detection and diagnoses with computer-aided systems showed similar sensitivities when compared with those from dermatologists; however, the real-world applicability of the technology is unknown. “There is a fear that less-skilled physicians or even nonmedical personnel will use systems to deliver a service that should be restricted to dermatologists,” Vincent Dick, CandMed, member of the Vienna Dermatologic Imaging Research group in the department of dermatology at Medical University of Vienna, and colleagues wrote. Read more.
Pigmented lesion assay prevents unnecessary biopsies in skin lesions
Twelve-month data from a large U.S. registry study confirmed the clinical utility and high negative predictive value of a pigmented lesion assay as a diagnostic tool in melanoma, according to research in Dermatology Online Journal. Read more.