Results 201 to 210 of about 186,001 (296)

Toward Automating the Summarization of Cancer Pathology Reports Using Large Language Models to Improve Clinical Usability. [PDF]

JCO Clin Cancer Inform
Liu Y, John J, Sarkar S, Zakkar A, Kinkopf P, Teo PT, Abazeed ME.   +6 more
europepmc   +1 more source

A dancing bear, a colleague, or a sharpened toolbox? The cautious adoption of generative artificial intelligence technologies in digital humanities research

Journal of the Association for Information Science and Technology, EarlyView.
Abstract The emergence of generative artificial intelligence (GenAI) is reshaping the research landscape and carries significant implications for Digital Humanities (DH), a field long intertwined with computational methods and technologies. This study examines how DH scholars are adopting and critically evaluating GenAI in their research. Drawing on an
Rongqian Ma, Meredith Dedema, Andrew Cox
wiley   +1 more source

When collaboration fails: persuasion driven adversarial influence in multi agent large language model debate. [PDF]

Sci Rep
Kraidia I, Qaddara I, Almutairi A, Alzaben N, Belhouari SB.   +4 more
europepmc   +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

Ensuring Reliability of Curated Electronic Health Record-Derived Data: The Validation of Accuracy for Large Language Model-/Machine Learning-Extracted Information and Data (VALID) Framework. [PDF]

JCO Clin Cancer Inform
Estevez M, Singh N, Dyson L, Adamson B, Krismer K, Magee K, Yuan Q, Hildner MW, Fidyk E, Williams T, Mbah O, Khan F, Seidl-Rathkopf K, Cohen AB.   +13 more
europepmc   +1 more source

Advancing the science of qualitative patient preference assessment using large language models. [PDF]

PLOS Digit Health
Grover T, Krebs E, Weymann D, Ehman M, Regier DA.   +4 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

Improving non-expert performance in musculoskeletal MRI protocoling through a large language model. [PDF]

Sci Rep
Lee S, Choi H, Chun KS, Lee S, Park H, Le TD, Mukherjee P, Lee J, Chang S, Lee SY, Jung JY.   +10 more
europepmc   +1 more source

AI voice journaling for future language teachers: A path to well‐being through reflective practices

British Educational Research Journal, EarlyView.
Abstract This study aimed to explore the perceived impact of using an AI‐powered voice journaling app in overcoming the challenges and stressors encountered by senior students enrolled in teaching practicum at an English Language Teaching Bachelor's programme.
Bora Demir, Duygu Özdemir
wiley   +1 more source

Large Language Model Performance and Clinical Reasoning Tasks.

JAMA Netw Open
Rao AS, Esmail KP, Lee RS, Jiang S, Arraiza Carlo B, Gill J, Khanna P, Kalmowitz E, Montagnese B, Heydari K, Jiao Q, Bott E, Nguyen D, Wang G, Hood M, Landman AB, Succi MD.   +16 more
europepmc   +1 more source