Nguyen Quoc Khanh Le, Thi-Xuan Tran, Phung-Anh Nguyen, Trang-Thi Ho, Van-Nui Nguyen
Recent progress in machine learning approaches for predicting carcinogenicity in drug development
Expert opinion on drug metabolism & toxicology
perspective paper provides comprehensive examination artificial intelligence ai healthcare focusing transformative impact clinical practices decisionmaking physicianpatient relationships integrating insights evidence research realworld examples offers balanced analysis ais capabilities limitations emphasizing role streamlining administrative processes enhancing patient care reducing physician burnout maintaining humancentric approach medicine research underscores ais capacity augment clinical decisionmaking improve patient interactions also highlights variable impact ai different healthcare settings need contextspecific adaptations careful integration ai technologies existing healthcare workflows emphasized maximize benefits minimize unintended consequences significant attention given implications ai roles competencies healthcare professionals emergence ai necessitates new skills data literacy technology use prompting shift educational curricula towards digital health ai training ethical considerations pivotal aspect discussion paper explores challenges posed data privacy concerns algorithmic biases ensuring equitable access aidriven healthcare advocates development comprehensive ethical frameworks ongoing research guide responsible use ai healthcare conclusively paper advocates balanced approach ai adoption healthcare highlighting importance ongoing research strategic implementation synergistic combination human expertise ai technologies optimal patient care