Results 121 to 130 of about 2,308,047 (171)

Comparison of AI-generated and clinician-designed multiple-choice questions in emergency medicine exam: a psychometric analysis. [PDF]

BMC Med Educ
Kaya M, Sonmez E, Halici A, Yildirim H, Coskun A.   +4 more
europepmc   +1 more source

GPT-4's performance in supporting physician decision-making in nephrology multiple-choice questions. [PDF]

Sci Rep
Noda R, Tanabe K, Ichikawa D, Shibagaki Y.   +3 more
europepmc   +1 more source

Use of artificial intelligence-generated multiple-choice questions for the examination of surgical subspecialty residents Report of feasibility and psychometric analysis. [PDF]

Can Urol Assoc J
Kim JK, Chua ME, Lorenzo AJ, Rickard M, Andreacchi L, Kim M, Cheung D, Krakowsky Y, Lee JY.   +8 more
europepmc   +1 more source

Guideline-enhanced large language models outperform physician-test takers on EASL Campus quizzes multiple choice questions. [PDF]

JHEP Rep
Giuffrè M, Distefano A, Kresevic S, Crocè LS, Shung DL, Collaborators.   +5 more
europepmc   +1 more source

Prompt engineering for single-best-answer multiple-choice questions in licensing examinations: a narrative review with a case study involving the Korean Medical Licensing Examination. [PDF]

J Educ Eval Health Prof
Kim B, Kang J, Kim MY, Ahn J.
europepmc   +1 more source

Benchmarking open-source large language models on Portuguese Revalida multiple-choice questions. [PDF]

BMJ Health Care Inform
Bruneti Severino JV, Basei de Paula PA, Berger MN, Loures FS, Todeschini SA, Roeder EA, Veiga MH, Guedes M, Marques GL.   +8 more
europepmc   +1 more source

Item analysis of multiple choice questions from assessment of health sciences students, Tigray, Ethiopia. [PDF]

BMC Med Educ
Gebremichael MW, Baraki B, Mehari MA, Assalfew B.   +3 more
europepmc   +1 more source

Automatic distractor generation in multiple-choice questions: a systematic literature review. [PDF]

PeerJ Comput Sci
Awalurahman HW, Budi I.
europepmc   +1 more source

Can ChatGPT generate surgical multiple-choice questions comparable to those written by a surgeon? [PDF]

Proc (Bayl Univ Med Cent)
Kıyak YS, Coşkun AK, Kaymak Ş, Coşkun Ö, Budakoğlu Iİ.   +4 more
europepmc   +1 more source

Comparative performance of ChatGPT, Gemini, and final-year emergency medicine clerkship students in answering multiple-choice questions: implications for the use of AI in medical education. [PDF]

Int J Emerg Med
Al-Thani SN, Anjum S, Bhutta ZA, Bashir S, Majeed MA, Khan AS, Bashir K.   +6 more
europepmc   +1 more source