دورية أكاديمية

Using Artificial Intelligence as a Melanoma Screening Tool in Self-Referred Patients

التفاصيل البيبلوغرافية
العنوان: Using Artificial Intelligence as a Melanoma Screening Tool in Self-Referred Patients
المؤلفون: Crawford, Madeleine E., Kamali, Kiyana, Dorey, Rachel A., MacIntyre, Olivia C., Cleminson, Kristyna, MacGillivary, Michael L., Green, Peter J., Langley, Richard G., Purdy, Kerri S., DeCoste, Ryan C., Gruchy, Jennette R., Pasternak, Sylvia, Oakley, Amanda, Hull, Peter R.
المساهمون: Faculty of Medicine Professor Murray Macneill, Summer Medical Research Studentship, Dalhousie Medical Research Foundation Allan and Leslie Shaw Research Fund, Dalhousie Faculty of Medicine Sandy Murray RIM Studentship
المصدر: Journal of Cutaneous Medicine and Surgery ; volume 28, issue 1, page 37-43 ; ISSN 1203-4754 1615-7109
بيانات النشر: SAGE Publications
سنة النشر: 2023
مصطلحات موضوعية: Dermatology, Surgery
الوصف: Introduction: Early detection of melanoma requires timely access to medical care. In this study, we examined the feasibility of using artificial intelligence (AI) to flag possible melanomas in self-referred patients concerned that a skin lesion might be cancerous. Methods: Patients were recruited for the study through advertisements in 2 hospitals in Halifax, Nova Scotia, Canada. Lesions of concern were initially examined by a trained medical student and if the study criteria were met, the lesions were then scanned using the FotoFinder System ® . The images were analyzed using their proprietary computer software. Macroscopic and dermoscopic images were evaluated by 3 experienced dermatologists and a senior dermatology resident, all blinded to the AI results. Suspicious lesions identified by the AI or any of the 3 dermatologists were then excised. Results: Seventeen confirmed malignancies were found, including 10 melanomas. Six melanomas were not flagged by the AI. These lesions showed ambiguous atypical melanocytic proliferations, and all were diagnostically challenging to the dermatologists and to the dermatopathologists. Eight malignancies were seen in patients with a family history of melanoma. The AI’s ability to diagnose malignancy is not inferior to the dermatologists examining dermoscopic images. Conclusion: AI, used in this study, may serve as a practical skin cancer screening aid. While it does have technical and diagnostic limitations, its inclusion in a melanoma screening program, directed at those with a concern about a particular lesion would be valuable in providing timely access to the diagnosis of skin cancer.
نوع الوثيقة: article in journal/newspaper
اللغة: English
DOI: 10.1177/12034754231216967
الإتاحة: https://doi.org/10.1177/12034754231216967Test
حقوق: https://creativecommons.org/licenses/by-nc/4.0Test/
رقم الانضمام: edsbas.55AAC1BF
قاعدة البيانات: BASE