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作者机构:1EEE Department Vel Tech RangarajanDr.Sagunthala R&D Institute of Science and Technology Chennai India 2Dept of ICE Sri ManakulaVinayagar Engineering College Puducherry India 3Data Analytics Amity School of Insurance Banking and Actuarial Science Amity University Noida India 4Department of Management & Marketing College of Business Administration Kingdom of Bahrain Bahrain 5CSIT Amity School of Insurance Banking and Actuarial Science Amity University Noida India 6School of Electronics Engineering Vellore Institute of Technology Chennai India
出 版 物:《AIP Conference Proceedings》
年 卷 期:2022年第2393卷第1期
摘 要:Artificial intelligence (AI) algorithms for automated classification of skin diseases are available to the consumer market. Studies of their diagnostic accuracy are rare. We assessed the diagnostic accuracy of an open-access AI application for recognition of skin diseases. The AI algorithm classified the images giving 5 differential diagnoses, which were then compared to the diagnoses made clinically by the dermatologists and/or histological. The level of diagnostic accuracy varied considerably for diagnostic groups. The online application demonstrated low diagnostic accuracy compared to a dermatologist evaluation and needs further development. Input signs have been developed to classify the disorder. With the aid of experts in the area, we received symptoms of 10 skin diseases. The symptom data were trained by various classifiers. We observed that high quality AI-based support for clinical decision making enhances the accurate diagnosis of either AI or doctors alone and that less skilled physicians are better served by AI.