Results 201 to 210 of about 6,924 (296)

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

Neuro-symbolic NLP: taxonomy, assessment, and directions. [PDF]

open access: yesFront Artif Intell
Chatzikyriakidis S, Lappin S.
europepmc   +1 more source

The Impact of Etiology on Time to Vocal Fold Motion Recovery in Unilateral Vocal Fold Paralysis

open access: yesThe Laryngoscope, EarlyView.
The time course of vocal fold motion recovery in UVFP reflects the underlying etiologies. This study showed that there was no difference in the time to recovery between UVFP from cardiothoracic versus thyroid/parathyroid surgeries, challenging the long‐held assumption that recovery time is proportional to the distance between injury site and larynx ...
Rishi Suresh, Ted Mau
wiley   +1 more source

Mapping Causal Biology: Mendelian Randomization in the Era of Big Data

open access: yesMed Research, EarlyView.
Mendelian randomization (MR) leverages genetic variants to mitigate confounding biases in causal inference. This review systematically maps MR's methodological evolution, highlights its expanding applications in epidemiology and drug target validation, and outlines future directions for overcoming current biases through dynamic, multi‐omics, and cross ...
Xuanlu Shen   +10 more
wiley   +1 more source

Omics GWAS: A Multi‐Omics Integrative Analysis Platform for Genome‐Wide Association Studies

open access: yesMed Research, EarlyView.
ABSTRACT With the rapid advancement of genome‐wide association studies (GWAS), downstream analyses of GWAS data have become essential for elucidating the genetic mechanisms that underlie complex diseases. However, current post‐GWAS analyses face numerous challenges, including heterogeneous data formats, challenges in multi‐omics integration, and ...
Xu Zhang   +8 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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