چکیده مقاله
Artificial intelligence AI has revolutionized personalized cancer care by enabling data driven prediction, diagnosis, and treatment optimization This systematic review evaluates the clinical utility of AI in oncology based on evidence from 12 high quality studies, including 5 randomized controlled trials and 7 observational cohorts published between 2019 and 2024, encompassing over 13,000 patients with diverse malignancies AI applications cover prediction of treatment response and toxicity, pathology and genomics based tumor subtyping, clinical decision support, real time therapy planning, and prognostic modeling using multi omics data Reported model performances showed AUCs ranging from 0 78 to 0 98 and C indices between 0 68 and 0 92 AI assisted interventions demonstrated improved clinical outcomes, such as longer progression free survival and reduced toxicity rates Despite these advances, challenges remain, including algorithmic bias, interpretability issues, and integration with electronic health records In conclusion, AI holds substantial promise to enhance personalized oncology through improved prediction, diagnosis, and therapeutic decision making Continued multi institutional validation, explainability, and clinician training are essential for safe and effective clinical implementation
کلیدواژهها
نویسندگان
Sana Mahdian Rizi
Students Research Committee, Neyshabur University of Medical Sciences, Neyshabur, Iran
شیوه ارجاع
Mahdian Rizi, Sana,1404,Clinical Utility of Artificial Intelligence in Personalized Cancer Care: A Systematic Review of Evidence from Randomized Trials and Observational Studies,20th International Conference on Health, Treatment and Health Promotion
ارائهشده در
مجموعه مقالات بیستمین کنفرانس بین المللی بهداشت، درمان و ارتقای سلامت24 مرداد 1404