Guideline-enhanced large language models outperform physician-test takers on EASL Campus quizzes multiple choice questions. [PDF]
Giuffrè M +5 more
europepmc +1 more source
Objective We aimed to construct and evaluate the first laboratory‐based frailty index (FI‐Lab) for predicting adverse outcomes in systemic lupus erythematosus (SLE) and to compare its predictive ability to that of an existing clinical FI. Methods We used data from a single‐center prospective cohort of adult patients with SLE whose baseline visit ...
Grace Burns +2 more
wiley +1 more source
Benchmarking open-source large language models on Portuguese Revalida multiple-choice questions. [PDF]
Bruneti Severino JV +8 more
europepmc +1 more source
Objective To support high‐quality, patient‐centered care for systemic lupus erythematosus (SLE), the American College of Rheumatology (ACR) developed evidence‐based measures incorporating clinical and patient‐reported outcome measures (PROMs). Using the Consolidated Framework for Implementation Research (CFIR), we conducted semistructured interviews ...
Catherine Nasrallah +13 more
wiley +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]
Kim B, Kang J, Kim MY, Ahn J.
europepmc +1 more source
Trajectories of Physical Function in Canadian Children With Juvenile Idiopathic Arthritis
Objective We describe trajectories of physical function in children newly diagnosed with juvenile idiopathic arthritis (JIA) and identify trajectories with persisting functional impairments and associated baseline characteristics. Methods We included patients enrolled in the Canadian Alliance of Pediatric Rheumatology Investigators (CAPRI) Registry ...
Clare Cunningham +81 more
wiley +1 more source
Item analysis of multiple choice questions from assessment of health sciences students, Tigray, Ethiopia. [PDF]
Gebremichael MW +3 more
europepmc +1 more source
Automatic distractor generation in multiple-choice questions: a systematic literature review. [PDF]
Awalurahman HW, Budi I.
europepmc +1 more source
Can ChatGPT generate surgical multiple-choice questions comparable to those written by a surgeon? [PDF]
Kıyak YS +4 more
europepmc +1 more source

