Results 201 to 210 of about 55,072 (308)

Beyond Search Engine Optimization: How Large Language Models Are Redefining Surgeon Visibility. [PDF]

Plast Reconstr Surg Glob Open
Sorenson TJ, Boyd CJ, Hemal K, Cohen O, Karp N, Choi M.   +5 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

Leveraging large language models in patient-reported outcome measure development: practical opportunities, cautions, and a human-in-the-loop roadmap. [PDF]

J Patient Rep Outcomes
Mara C, Rybak T.
europepmc   +1 more source

Using large language models to enhance clinically-driven missing data recovery algorithms in electronic health records. [PDF]

JAMIA Open
Lotspeich SC, Collins AN, Wells BJ, Khanna AK, Rigdon J, D'Agostino McGowan L.   +5 more
europepmc   +1 more source

LLMs for Data Engineering on Enterprise Data

A recent line of work applies Large Language Models (LLMs) to data engineering tasks on tabular data, suggesting they can solve a broad spectrum of tasks with high accuracy.
Brackmann, Ulf, Binnig, Carsten, Urban, Matthias, Sanghi, Anupam, Bodensohn, Jan-Micha, Vogel, Liane   +5 more
core  

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

Leveraging Large Language Models to Integrate Clinical Knowledge and Machine Learning Predictions for Lymph Node Metastasis Prediction: Development of a Knowledge-Augmented Framework. [PDF]

JMIR Med Inform
Yu H, Liu B, Zeng X, Ren M, Cao Z, Zhu X, Lu X, Xu J, Wu N, Hu D.   +9 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

In Reply to Hsu et al. [PDF]

Adv Radiat Oncol
Sengul I, Sengul D.
europepmc   +1 more source

UIO-LLMs: Unbiased Incremental Optimization for Long-Context LLMs

Managing long texts is challenging for large language models (LLMs) due to limited context window sizes. This study introduces UIO-LLMs, an unbiased incremental optimization approach for memory-enhanced transformers under long-context settings.
Yan, Shuicheng, Ji, Rongrong, Li, Wenhao, Lin, Mingbao, Zhong, Yunshan   +4 more
core