1
استادیار،گروه ریاضی ، دانشکده علوم پایه، موسسه آموزش عالی آل طه، تهران، ایران.
2
استادیار گروه زیستشناسی دانشکده علوم پایه مؤسسه آموزش عالی غیرانتفاعی آلطه، تهران، ایران.
چکیده
Artificial intelligence is transforming the detection and management of skin cancers by augmenting visual assessment, dermoscopy, and histopathology with objective, image‑driven algorithms that can approach or exceed expert‑level diagnostic performance. In this paper, the current burden and clinical challenges of melanoma and non‑melanoma skin cancers are outlined, followed by an overview of traditional diagnostic pathways and their limitations, including variability between clinicians and restricted access to specialist care. The main body of the work describes machine learning and deep learning approaches for classifying dermoscopic, clinical, and histopathologic images, highlighting key datasets, regulatory milestones, smartphone‑based and teledermatology applications, and evidence comparing algorithm performance with that of dermatologists and dermatopathologists. Advantages such as improved triage, support for self‑surveillance, reduced unnecessary biopsies, and potential time and cost savings are balanced against persistent concerns regarding dataset quality, generalizability, bias, privacy, and the need for standardized evaluation metrics. The paper concludes that, while only a small number of AI systems for skin cancer diagnosis have regulatory approval, judicious integration of these tools alongside clinical expertise could substantially enhance early detection and treatment planning, provided that technical, ethical, and regulatory gaps are systematically addressed.
جعفریان خالد آباد,لیلا و محبی,سهامه . (1404). Role of Artificial Intelligence in the Diagnosis and Treatment of Skin Cancers. زیست شناسی مولکولی کاربردی, 4(8), 99-110.
MLA
جعفریان خالد آباد,لیلا , و محبی,سهامه . "Role of Artificial Intelligence in the Diagnosis and Treatment of Skin Cancers", زیست شناسی مولکولی کاربردی, 4, 8, 1404, 99-110.
HARVARD
جعفریان خالد آباد لیلا, محبی سهامه. (1404). 'Role of Artificial Intelligence in the Diagnosis and Treatment of Skin Cancers', زیست شناسی مولکولی کاربردی, 4(8), pp. 99-110.
CHICAGO
لیلا جعفریان خالد آباد و سهامه محبی, "Role of Artificial Intelligence in the Diagnosis and Treatment of Skin Cancers," زیست شناسی مولکولی کاربردی, 4 8 (1404): 99-110,
VANCOUVER
جعفریان خالد آباد لیلا, محبی سهامه. Role of Artificial Intelligence in the Diagnosis and Treatment of Skin Cancers. زیست شناسی مولکولی کاربردی, 1404; 4(8): 99-110.
