Results 211 to 220 of about 82,529 (316)

Using Natural Language Processing to Improve Fall Documentation in VA Nursing Home Residents. [PDF]

open access: yesJ Am Med Dir Assoc
Graham LA   +9 more
europepmc   +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

open access: yesKnee 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   +6 more
wiley   +1 more source

From patient notes to prognostication: The revolutionary potential of event‐based foundation models in orthopaedics

open access: yesKnee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract The integration of artificial intelligence (AI)‐equipped tools into electronic health record (EHR) platforms may drive the evolution of orthopaedic diagnosis and decision‐making, leveraging big data to generate precise and context‐aware insights.
Alexander M. Bouterse   +7 more
wiley   +1 more source

Using a large language model as a third reviewer to augment dual human full‐text screening in orthopaedic systematic reviews

open access: yesKnee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose Large language models (LLMs) are a form of artificial intelligence (AI) that have emerged as potential tools to augment systematic review workflows. This study aimed to evaluate GPT‐5 as a third reviewer for full‐text screening across orthopaedic subspecialties. Methods Three review topics were selected.
Prushoth Vivekanantha   +5 more
wiley   +1 more source

Economic Impact of a Deep Learning Algorithm for Automated Head and Neck Surgery Referral Triage

open access: yesThe Laryngoscope, EarlyView.
This prospective cost–benefit analysis evaluated a deep learning algorithm for automated referral triage across 214 new patient referrals at a high‐volume Head and Neck Surgical Oncology center operating under a fee‐for‐service model. The algorithm reduced referral triage labor by 98.5% (displacing 0.94 FTEs per division) and identified 80 verified ...
Stephanie Younan   +6 more
wiley   +1 more source

AI‐Driven Synthesis in Medicinal Chemistry: Integrating Large Language Models, Robotic Automation, and Sustainability Metrics to Accelerate Drug Discovery

open access: yesMedicinal Research Reviews, EarlyView.
ABSTRACT Artificial intelligence (AI) is transforming synthetic chemistry from task‐specific predictors into integrated platforms that unify retrosynthesis, reaction optimization, and closed‐loop robotic automation. This review highlights how AI‐assisted planning and robotic execution shorten cycle times, reduce step counts, and improve route ...
Amit Gangwal, Antonio Lavecchia
wiley   +1 more source

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