Mohamed Baklola, Mohamed Terra, Anhar Taha, Mohammed Elnemr, Mohammad Yaseen, Ahmed Maher, Ali Hussain Buzaid, Rahaf Alenazi, Safa Adil Osman Mohamed, Doaa Abdelhady, Abdel-Hady El-Gilany
Mental health literacy and help-seeking behaviour among Egyptian undergraduates: a cross-sectional national study
BMC psychiatry
artificial intelligence ai particularly chatgpt becoming prevalent healthcare field tasks disease diagnosis medical record analysis objective study evaluate proficiency accuracy chatgpt different domains clinical pharmacy cases queries study naplex review questions 4th edition pertaining 10 different chronic conditions compared chatgpts responses pharmacotherapy cases questions obtained mcgraw hills alongside answers provided books authors proportion correct responses collected analyzed using statistical package social sciences spss version 29 tested english chatgpt substantially higher mean scores tested turkish average accurate score english turkish 041 049 032 046 respectively p 018 responses queries beginning following correct considerably precise beginning mark incorrect answers 066 047 opposed 016 036 p 001 english language 050 050 opposed 014 034 p 005in turkish language chatgpt displayed moderate level accuracy responding english inquiries displayed slight level accuracy responding turkish inquiries contingent upon question format improving accuracy chatgpt languages english requires incorporation several components integration english version chatgpt clinical practice potential improve effectiveness precision standard patient care provision supplementing personal expertise professional judgment however crucial utilize technology adjunct replacement human decisionmaking critical thinking