DOIONLINE 
DOIONLINE Publish In |
International Journal of Advances in Science, Engineering and Technology(IJASEAT)-IJASEAT |
 Journal Home Volume Issue |
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Issue |
Volume-6, Issue-3 ( Jul, 2018 ) | |||||||||
Paper Title |
Validation Test of Artificial Intelligence Assisted in Pigmented Skin Lesions Diagnosis | |||||||||
Author Name |
Thorfun Treewatanakul, Charturong Tantibundhit, Panlop Chakkavittumrong, Saroj Suvanasuthi | |||||||||
Affilition |
Division of Dermatology, Chulabhorn International College of Medicine Thammasat University, Pathum Thani, Thailand Center of Excellence in Intelligence Informatics, Speech and Language Technology, and Service Innovation(CILS), Faculty of Engineering, Thammasart university, Thailand Department of Dermatology, Faculty of Medicine, Thammasart University, Thailand Dermatology Clinic, Samitivej Sukhumvit Hospital, Thailand | |||||||||
Pages |
39-41 | |||||||||
Abstract |
Artificial intelligence(AI) has been reported in high potential in classification of pigmented skin lesions(PSLs) under experimental conditions recently. Thai researchers team has trained the first AI which enable to diagnose PSLs in Thailand. AI showed high sensitivity, specificity, and accuracy in diagnosis up to 80-90%. Although the computer diagnosis of PSLs is accurate under experimental conditions, the practical value of automated diagnostic tool compared to standard is currently unknown. This study aimed to validate the diagnosis performances of AI assisted in PSLs diagnosis compared to Board-certified dermatologist using dermoscopic images. Index Terms - Artificial intelligence, dermoscopy, pigmented skin lesions | |||||||||
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