Results 191 to 200 of about 81,815 (304)

Comparing Large Language Models and Traditional Machine Translation Tools for Translating Medical Consultation Summaries: Quantitative Pilot Feasibility Study. [PDF]

JMIR Form Res
Li A, Zhou W, Hoda R, Bain C, Poon P.
europepmc   +1 more source

Artificial Intelligence and Access to Justice at the ‘Shop Front’: The Potential and Limitations of Meeting Legal Need Through Technology

Australian Journal of Social Issues, EarlyView.
ABSTRACT In Australia, governments fund Community Legal Centres (CLCs) as part of the legal assistance sector (LAS) to meet the ‘legal needs’ of people experiencing disadvantage who cannot afford private legal services. Persistent unmet demand for CLCs is well‐documented. As artificial intelligence (AI) is increasingly used in private legal practice to
Catherine Hastings, Art Cotterell, Farzana Bruce   +2 more
wiley   +1 more source

Potential of large language models for rapid clinical information support: evidence from acute kidney injury knowledge testing. [PDF]

Sci Rep
Russ P, Bedenbender S, Einloft J, Meyer HL, Wenzel LT, Ganser A, Hirsch MC, Grgic I.   +7 more
europepmc   +1 more source

Testeando LLMs

Este proyecto se centra en el desarrollo de un sistema diseñado para evaluar y comparar la eficiencia de LLMs (modelos de lenguaje de gran tamaño), como GPT o Cohere los cuales son los utilizados en este proyecto. El objetivo principal fue crear una herramienta que permita la interacción con un LLM en prueba y utilizar un LLM de referencia para evaluar
Ramos González, Gonzalo, Sampedro Mate, Marta, De Hoyos Pino, Javier   +2 more
openaire   +1 more source

Pre‐Diagnostic Plasma Carotenoids, Tocopherols and Retinol Levels, and Risk of Amyotrophic Lateral Sclerosis

Annals of Neurology, EarlyView.
Objective Our goal was to examine whether pre‐diagnostic plasma carotenoids and tocopherols are associated with amyotrophic lateral sclerosis (ALS). Methods A nested case–control study within 4 United States cohorts, where 154 participants with pre‐diagnostic blood‐draw, were diagnosed during follow‐up with amyotrophic lateral sclerosis (ALS). Controls
Éilis J. O'Reilly, Kjetil Bjornevik, Jeremy D. Furtado, Alpa V. Patel, Ying Wang, Laurence N. Kolonel, Loïc Le Marchand, Alberto Ascherio   +7 more
wiley   +1 more source

Beyond Mankind, Self-Illusion and Medical Expertise of Artificial Intelligence in the Era of COVID-19. [PDF]

Open Forum Infect Dis
Claessens A, Claessens YE, Lambert A, Gehin W.   +3 more
europepmc   +1 more source

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 study of large language models for patient information extraction: Model architecture, fine-tuning strategy, and multi-task instruction tuning. [PDF]

J Biomed Inform
Peng C, Dong X, Lyu M, Paredes D, Zhang Y, Wu Y.   +5 more
europepmc   +1 more source

Sustainable Graphene Oxide–Intercalated Bentonite Composite for the Effective Removal of Imidacloprid From Water: Adsorption Performance, Isotherm, and Kinetics

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Water is a fundamental necessity for our existence, but its rapid contamination is causing devastating effects on the environment and health of living species worldwide. Adsorptive removal of pollutants is one of the popular water treatment techniques because of its simplicity, affordability, and the broad range of available adsorbents.
Priyanka Negi, Brij Bhushan, Arunima Nayak, Pallavi Singh   +3 more
wiley   +1 more source

A systematic review of the limitations of large language models in generating healthcare content. [PDF]

PLOS Digit Health
Khosravi M, Zamaninasab Z, Mojtabaeian SM, Dindar Demiray EK, Arab-Zozani M.   +4 more
europepmc   +1 more source