Results 181 to 190 of about 2,308,146 (271)

Assessing the Efficacy of Artificial Intelligence Platforms in Answering Dental Caries Multiple-Choice Questions: A Comparative Study of ChatGPT and Google Gemini Language Models. [PDF]

Dent J (Basel)
Azhari AA, Ahmed WM, Alhamadani A, Alfaraj A, Zhang M, Lu CT.   +5 more
europepmc   +1 more source

Testing a Personalized Approach to Chronic Low Back Pain: A Randomized Controlled Trial in Older Veterans

Arthritis Care &Research, EarlyView.
Objective We aimed to test the efficacy of personalized treatment of older veterans with chronic low back pain (CLBP) delivered by Aging Back Clinics (ABCs) as compared with usual care (UC). Methods Two hundred ninety‐nine veterans aged 65 to 89 with CLBP from three Veterans Affairs (VA) medical centers underwent baseline testing, randomization to ABC ...
Debra K. Weiner, Angela Gentili, Meika A. Fang, Edward Garay, Laura Lawson, Lenore Joseph, Cathy C. Lee, Michelle I. Rossi, Beverly Thorn, Subashan Perera   +9 more
wiley   +1 more source

Performance of DeepSeek-R1, ChatGPT (GPT-o3-mini), and Gemini 2.0 Flash on German Medical Multiple-Choice Questions: Comparative Evaluation. [PDF]

JMIR Form Res
Meyer A, Karay Y, Steinbicker AU, Streichert T, Overbeek R.   +4 more
europepmc   +1 more source

A Qualitative Analysis of Patient Perspectives and Preferences in Lupus Management to Guide Lupus Guidelines Development

Arthritis Care &Research, EarlyView.
Objective A patient‐centered approach for chronic disease management, including systemic lupus erythematosus (SLE), aligns treatment with patients’ values and preferences, leading to improved outcomes. This paper summarizes how patient experiences, perspectives, and priorities informed the American College of Rheumatology (ACR) 2024 Lupus Nephritis (LN)
Shivani Garg, Izzy Hartel, Lisa R. Sammaritano, Anca Askanase, Bonnie L. Bermas, Maria Dall'Era, Alí Duarte‐García, Victoria P. Werth, Brad Rovin, Reem A. Mustafa, Amy S. Turner, Bené Williams, Brian L. Ung, Hiya Bhavsar, Monique C. Gore‐Massy, Nahirannette Pulido, Natacha Guerrero, Natalie M. Smith, Wambui Machua, Linda T. Hiraki, Mary Beth Son   +20 more
wiley   +1 more source

Multiple choice questions on Rheumatology

Journal of Mahatma Gandhi Institute of Medical Sciences, 2014
doaj  

Leveraging Large Language Models to Generate Multiple-Choice Questions for Ophthalmology Education.

JAMA Ophthalmol
Gholami S, Mummert DB, Wilson B, Page S, Dodhia R, Lavista Ferres JM, Weeks WB, Fajardo DE, Bojikian KD.   +8 more
europepmc   +1 more source

Consistency over accuracy: run-to-run stability of contemporary large language models on Turkish curriculum-aligned theoretical anatomy multiple-choice questions. [PDF]

BMC Med Educ
Gürses ÖA, Ceylan İ.
europepmc   +1 more source

Sex Differences in Medication Discontinuation in Axial Spondyloarthritis

Arthritis Care &Research, EarlyView.
Objective We examined sex differences in medication discontinuation among patients with axial spondyloarthritis (axSpA) initiating tumor necrosis factor inhibitors (TNFi), interleukin‐17 inhibitors (IL‐17i), or JAK inhibitors (JAKi). Methods Using data from the Rheumatology Informatics System for Effectiveness (RISE) Registry (2003–2025), we assessed ...
Rachael Stovall, Cinthia Blat, Eric Roberts, Jean W. Liew, Katherine Wysham, Namrata Singh, Janna Friedly, Lianne S. Gensler, Gabriela Schmajuk, Jinoos Yazdany   +9 more
wiley   +1 more source

Human Expertise Outperforms Artificial Intelligence in Medical Education Assessments: MCQ Creation Highlights the Irreplaceable Role of Teachers

Avicenna Journal of Medicine
Aliya Mufti, Kashif Ali, Gaurav Sharma, Mohammad Saleem   +3 more
doaj   +1 more source

Detection of flawed multiple-choice questions in preclinical medical education using item difficulty and discrimination indices: a six-year analysis. [PDF]

BMC Med Educ
Srisomsak V, Sitticharoon C, Keadkraichaiwat I, Meethes S, Inpaen I.   +4 more
europepmc   +1 more source