Results 241 to 250 of about 91,016 (314)

Reassessing Asymmetry Reduction in Psychosis: Cingulate Folding and Gyrification Covariance in Patients with Auditory Hallucinations. [PDF]

Schizophr Bull
Wu SJ, de Vareilles H, Mitchell SC, Al-Manea A, Garrison J, Mamalakis M, Simons JS, Cachia A, Mangin JF, Nerland S, Mørch-Johnsen L, Agartz I, Suckling J, Murray GK.   +13 more
europepmc   +1 more source

How Can Teams Benefit From AI Team Members? Exploring the Effect of Generative AI on Decision‐Making Processes and Decision Quality in Team–AI Collaboration

Journal of Organizational Behavior, EarlyView.
ABSTRACT Human teams with distributed knowledge can make high‐quality decisions but often fail due to decision‐making asymmetries. As AI team members become integrated collaborators, understanding how AI can reduce these decision‐making asymmetries is essential. However, little is known about how AI team members can reduce these asymmetries and whether
Désirée Zercher, Ekaterina Jussupow, Ivo Benke, Armin Heinzl   +3 more
wiley   +1 more source

Mapping of Subjective Accounts into Interpreted Clusters (MOSAIC): Topic Modelling and LLM applied to Stroboscopic Phenomenology. [PDF]

Neurosci Conscious
Beauté R, Schwartzman DJ, Dumas G, Crook J, Macpherson F, Barrett AB, Seth AK.   +6 more
europepmc   +1 more source

Artificial intelligence in traumatic stress treatment: The TRUST framework for ethical development, clinical applications, and research advancement

Journal of Traumatic Stress, EarlyView.
Abstract Posttraumatic stress disorder (PTSD) and depression are common diagnoses following traumatic events, with several available evidence‐based interventions to reduce symptomology. However, trauma populations face significant access barriers that limit their adoption and reach.
Leigh E. Ridings, Philip Held, Eric Kuhn, Shannon Wiltsey‐Stirman   +3 more
wiley   +1 more source

Complex Visual Hallucinations in Post-stroke Epilepsy: A Case Report and Literature Review. [PDF]

Intern Med
Fujita S, Oyama G, Kawasaki H, Okada M, Yamamoto T.   +4 more
europepmc   +1 more source

Large Language Models as a Virtual Endodontic Patient. Can They Help Us Teach Endodontic Diagnosis?

Journal of Dental Education, EarlyView.
Pierre Wohlgemuth, Cristian Opazo, Elona Covietz, Kristiana Kalibat   +3 more
wiley   +1 more source

Large language models are comparable with commonly used statistical software: A validation of GPT 5.1 for frequentist meta‐analysis in orthopaedics

Knee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose The purpose of this study was to evaluate whether Chat Generative Pre‐trained Transformer (ChatGPT; Version 5.1) can reproduce frequentist meta‐analytic calculations with an accuracy comparable to established statistical software in orthopaedic research.
Mikhail Salzmann, Nikolai Ramadanov, Robert Prill, Robert Hable, Roland Becker   +4 more
wiley   +1 more source

A Nine-Year Diagnostic Odyssey of Refractory Psychiatric Symptoms Resolving After Resection of a CA19-9-Producing Ovarian Teratoma: A Case Report and Literature Review. [PDF]

Brain Behav
Chen W, Zhuang X, Liu N, Niu N, Qiu F, Zhang H.   +5 more
europepmc   +1 more source

Integrating AI and Into Dental Hygiene Documentation Education

Journal of Dental Education, EarlyView.
Leonardo M. Nassani, Nicole Buchanan, Zeinab Mohamed, Teresa Kania   +3 more
wiley   +1 more source

Automated data extraction for systematic reviews using GPT‐5.2 and Google Gemini Pro 3: A dual‐large language model approach in orthopaedic research

Knee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose To evaluate the accuracy, agreement, and efficiency of a dual‐large language model (LLM) approach using Generative Pre‐Trained Transformer 5.2 (GPT‐5.2) and Google Gemini 3 Pro for automated data extraction in orthopaedic systematic reviews.
Prushoth Vivekanantha, Harjind Kahlon, Oluwatoba T. Balogun, Marc Daniel Bouchard, Darren de Sa, Olufemi R. Ayeni, Jeffrey Kay   +6 more
wiley   +1 more source