Results 151 to 160 of about 137,842 (266)

Impact of evolving treatment patterns on interstitial lung disease progression in systemic sclerosis using the EUSTAR database

Arthritis &Rheumatology, Accepted Article.
Background The treatment landscape for systemic sclerosis‐associated interstitial lung disease (SSc‐ILD) has evolved with increasing immunosuppressive (IST) and anti‐fibrotic therapies available. However, their real‐world use remains unclear. Objectives To analyze treatment trends and the effect of IST and anti‐fibrotic therapies on ILD progression ...
Corrado Campochiaro, Marie‐Elise Truchetet, Madelon Vonk, Giacomo De Luca, Giovanna Cuomo, Lidia P. Ananieva, Eric Hachulla, Vanessa Smith, Ana Maria Gheorghiu, Radim Becvar, Patricia Carreira, Nicolas Hunzelmann, Daniel E. Furst, Vera Ortiz‐Santamaria, Francesco Del Galdo, Marco Matucci‐Cerinic, Anna‐Maria Hoffmann‐Vold, EUSTAR collaborators   +17 more
wiley   +1 more source

Large Language Models Evaluation of Medical Licensing Examination Using GPT-4.0, ERNIE Bot 4.0, and GPT-4o. [PDF]

Bioengineering (Basel)
Lian L, Luo X, Chipusu K, Ashraf MA, Wong KKL, Zhang W.   +5 more
europepmc   +1 more source

GPT Gene [PDF]

, 2020
openaire   +1 more source

ChatGPT for complex text evaluation tasks

Journal of the Association for Information Science and Technology, Volume 76, Issue 4, Page 645-648, April 2025.
Abstract ChatGPT and other large language models (LLMs) have been successful at natural and computer language processing tasks with varying degrees of complexity. This brief communication summarizes the lessons learned from a series of investigations into its use for the complex text analysis task of research quality evaluation.
Mike Thelwall
wiley   +1 more source

Can social media provide early warning of retraction? Evidence from critical tweets identified by human annotation and large language models

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Timely detection of problematic research is essential for safeguarding scientific integrity. To explore whether social media commentary can serve as an early indicator of potentially problematic articles, this study analyzed 3815 tweets referencing 604 retracted articles and 3373 tweets referencing 668 comparable non‐retracted articles. Tweets
Er‐Te Zheng, Hui‐Zhen Fu, Mike Thelwall, Zhichao Fang   +3 more
wiley   +1 more source

Reduced Hand Specialization and Idiosyncratic Visuomotor Strategies in Autism During Naturalistic Object Manipulation

Autism Research, EarlyView.
ABSTRACT Autistic individuals exhibit altered perceptual and visuomotor behaviors, potentially due to reduced cortical specialization. The current study focuses on handedness, a robust marker of cerebral specialization, which is less right‐biased in autism.
Emily Fewster, Bat‐Sheva Hadad, Erez Freud   +2 more
wiley   +1 more source

Evaluating and leveraging large language models in clinical pharmacology and therapeutics assessment: From exam takers to exam shapers

British Journal of Clinical Pharmacology, EarlyView.
Aims In medical education, the ability of large language models (LLMs) to match human performance raises questions about their potential as educational tools. This study evaluates LLMs' performance on Clinical Pharmacology and Therapeutics (CPT) exams, comparing their results to medical students and exploring their ability to identify poorly formulated
Alexandre O. Gérard, Diane Merino, Marc Labriffe, Fanny Rocher, Delphine Viard, Laurence Zemori, Thibaud Lavrut, Erik M. Donker, Joost D. Piët, Jean‐Paul Fournier, Milou‐Daniel Drici, Alexandre Destere   +11 more
wiley   +1 more source

Performance of successive generative pretrained transformers (GPT) models in medical cases and board style questions. [PDF]

Sci Rep
Patel A, Contractor H, Heninger H, Vallamchetla SK, Li P, Tao C, Cheung J.   +6 more
europepmc   +1 more source

Large language models and conditional rules in clinical decision support systems. [PDF]

Health Inf Sci Syst
Sivasothy S, Bingham A, Logothetis I, Barnett S, Abdelrazek M, Luckhoff C, Mathew J, Vasa R, Mouzakis K.   +8 more
europepmc   +1 more source

Student perspectives on AI‐supported formative assessment in pharmacology

British Journal of Clinical Pharmacology, EarlyView.
Abstract Aims High‐quality feedback is crucial for helping medical students understand and apply core concepts of pharmacology, yet personalized feedback is resource‐intensive to produce. Artificial intelligence (AI) offers a potential solution, but little is known about students' perspectives on AI‐generated feedback.
Jon Andsnes Berg, Øyvind Repstad, Trond Trætteberg Serkland, Tiril Egset Mork, Christian Bru, Olav Tenstad, Monika Kvernenes   +6 more
wiley   +1 more source