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The recent paper titled 'Can Large language models provide secondary reliable opinion on treatment options for dermatological diseases?’ (https://lnkd.in/gHVjCjzj) published in the Journal of the American Medical Informatics Association (JAMIA) (https://lnkd.in/gHxCjRdN) unveils the impact of ChatGPT in dermatology. This study assesses ChatGPT's drug recommendations in dermatology, identifying areas for improvement in accuracy and comprehensiveness. Integrating medical domain-specific knowledge for ongoing optimization could enhance ChatGPT's precision in the future. 💡 ChatGPT demonstrates high effectiveness (98.87% approval rate from dermatologists) but requires human validation for accuracy and bias mitigation. 👩 Advancing AI in dermatology, study emphasizes the need for accuracy refinement and bias mitigation for fair healthcare outcomes. The authors of this collaborative ChatGPT for Dermatology research include Distinguished Professor  Yu-Chuan Jack Li from Taipei Medical University along with: Usman Iqbal, University of New South Wales (UNSW) Leon Tsung-Ju LeeTaipei Medical University & Taipei Medical University Hospital Annisa Ristya RahmantiUniversitas Gadjah Mada (UGM) Leo Anthony CeliMassachusetts Institute of TechnologyHarvard T.H. Chan School of Public Health, and Harvard Medical School Yu-Chuan Jack LiTaipei Medical University & International Medical Informatics Association (IMIA) To read the full paper, check out the link: https://lnkd.in/gmzPBPjp #largelangaugemodels #chatgpt #artifiicalintelligence #dermatology #skin #healthcare #digitalhealth

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