Academic Journal

Artificial Intelligence in Skin Cancer Diagnosis: A Reality Check

التفاصيل البيبلوغرافية
العنوان: Artificial Intelligence in Skin Cancer Diagnosis: A Reality Check
المؤلفون: Brancaccio G., Balato A., Malvehy J., Puig S., Argenziano G., Kittler H.
المساهمون: Brancaccio, G., Balato, A., Malvehy, J., Puig, S., Argenziano, G., Kittler, H.
سنة النشر: 2023
المجموعة: Università degli Studi della Campania "Luigi Vanvitelli": CINECA IRIS V:
مصطلحات موضوعية: Convoluted neural network, Dermoscopy, Melanoma, Mobile app, Primary care
الوصف: The field of skin cancer detection offers a compelling use case for the application of artificial intelligence (AI) within the realm of image-based diagnostic medicine. Through the analysis of large datasets, AI algorithms have the capacity to classify clinical or dermoscopic images with remarkable accuracy. Although these AI-based applications can operate both autonomously and under human supervision, the best results are achieved through a collaborative approach that leverages the expertise of both AI and human experts. However, it is important to note that most studies focus on assessing the diagnostic accuracy of AI in artificial settings rather than in real-world scenarios. Consequently, the practical utility of AI-assisted diagnosis in a clinical environment is still largely unknown. Furthermore, there exists a knowledge gap concerning the optimal use cases and deployment settings for these AI systems as well as the practical challenges that may arise from widespread implementation. This review explores the advantages and limitations of AI in a variety of real-world contexts, with a specific focus on its value to consumers, general practitioners, and dermatologists.
نوع الوثيقة: article in journal/newspaper
اللغة: English
Relation: info:eu-repo/semantics/altIdentifier/pmid/37978982; info:eu-repo/semantics/altIdentifier/wos/WOS:001203042800001; journal:JOURNAL OF INVESTIGATIVE DERMATOLOGY; https://hdl.handle.net/11591/515876; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85177069824
DOI: 10.1016/j.jid.2023.10.004
الاتاحة: https://hdl.handle.net/11591/515876
https://doi.org/10.1016/j.jid.2023.10.004
رقم الانضمام: edsbas.337ACF8F
قاعدة البيانات: BASE
الوصف
DOI:10.1016/j.jid.2023.10.004