Results 171 to 180 of about 2,303,768 (272)

Evaluation of Chatbot Responses to Text-Based Multiple-Choice Questions in Prosthodontic and Restorative Dentistry. [PDF]

Dent J (Basel)
Chau RCW, Thu KM, Yu OY, Hsung RT, Wang DCP, Man MWH, Wang JJ, Lam WYH.   +7 more
europepmc   +1 more source

Frailty Exacerbates Disability in Progressive Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background To evaluate frailty in severe progressive multiple sclerosis (PMS) and to investigate the underlying mechanisms. Methods This prospective, cross‐sectional, multicenter study enrolled a late severe PMS group requiring skilled nursing (n = 53) and an age, sex, and disease duration‐matched control PMS group (n = 53).
Taylor R. Wicks, Anna Wolska, Diala Ghazal, Dejan Jakimovski, Bianca Weinstock‐Guttman, Alexander Burnham, Niels Bergsland, Michael G. Dwyer, Alan T. Remaley, Robert Zivadinov, Murali Ramanathan   +10 more
wiley   +1 more source

Multiple Choice Questions [PDF]

Continuing Education in Anaesthesia Critical Care & Pain, 2015
openaire   +2 more sources

AI-generated multiple-choice questions in health science education: Stakeholder perspectives and implementation considerations. [PDF]

Curr Res Physiol
Reid M, French M, Andreopoulos S, Wong C, Kee N.   +4 more
europepmc   +1 more source

Real‐World Investigation of Satralizumab in Patients With Neuromyelitis Optica Spectrum Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Satralizumab, a monoclonal antibody targeting the interleukin‐6 receptor, has demonstrated efficacy in clinical trials for neuromyelitis optica spectrum disorder (NMOSD). However, its real‐world effectiveness and safety compared to conventional immunosuppressive therapies remain uncertain.
Li‐Tsung Lin, Hui‐An Lin, Sheng‐Feng Lin   +2 more
wiley   +1 more source

Performance of large language models in non-English medical ethics-related multiple choice questions: comparison of ChatGPT performance across versions and languages. [PDF]

BMC Med Ethics
Kim Y, Shin S, Yoo SH.
europepmc   +1 more source

Fluid and Neuroimaging Biomarkers in Microgliopathy Colony‐Stimulating Factor‐1 Receptor‐Related Disorders

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective This study aims to identify both fluid and neuroimaging biomarkers for CSF1R‐RD that can inform the optimal timing of treatment administration to maximize therapeutic benefit, while also providing sensitive quantitative measurements to monitor disease progression.
Tomasz Chmiela, Madison Reeves, Karen Jansen‐West, Judith Dunmore, Yuping Song, Audrey Strongosky, Sunil Gandhi, Gilana Pikover, Matt Blurton‐Jones, Robert C. Spitale, Erik H. Middlebrooks, Leonard Petrucelli, Mercedes Prudencio, Zbigniew K. Wszolek   +13 more
wiley   +1 more source

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

Exploring how complex multiple-choice questions could contribute to inequity in introductory physics. [PDF]

PLoS One
Young NT, Mills M, Matz RL, Bell EF, Hayward C.   +4 more
europepmc   +1 more source

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein, Haoqi Sun, Sophie Lehnerer, Lea Gerischer, Maximilian Mönch, Christian Meisel, Andreas Meisel, Pushpa Narayanaswami   +7 more
wiley   +1 more source