Results 261 to 270 of about 55,072 (308)

Machine‐Learning‐Enabled Wood with Nanopump Functionalization for Solar Interfacial Evaporation

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This study employed machine learning to design an iron‐cobalt‐carbon‐wood photothermal material, achieving high‐efficiency evaporation at 2.807 kg m−2 h−1 and excellent salt resistance. The integrated system increased the daily water production efficiency of solar distillation by 1.5 times, providing an innovative solution for sustainable seawater ...
Chaohai Wang, Rui Li, Chang He, Xinfeng Zhu, Junning Wang, Rongfu Peng, Ho Ngoc Nam, Yanli Mao, Wei Liu, Mingshan Zhu, Yusuke Yamauchi   +10 more
wiley   +1 more source

Evaluation of Five Large Language Models for Parental Education in Pediatric Anesthesia: Reliability and Readability Study. [PDF]

JMIR Med Inform
Pu F, Hong J, Wei X, Chen Y.
europepmc   +1 more source

Comparative assessment of artificial intelligence chatbots' performance in responding to healthcare professionals' and caregivers' questions about Dravet syndrome

Epilepsia Open, EarlyView.
Abstract Objective Artificial intelligence chatbots have been a game changer in healthcare, providing immediate, round‐the‐clock assistance. However, their accuracy across specific medical domains remains under‐evaluated. Dravet syndrome remains one of the most challenging epileptic encephalopathies, with new data continuously emerging in the ...
Joana Jesus‐Ribeiro, Eugenia Roza, Bárbara Oliveiros, Joana Barbosa Melo, Mar Carreño   +4 more
wiley   +1 more source

Editorial: The emerging role of large language model chatbots in gastroenterology and digestive endoscopy. [PDF]

Front Med (Lausanne)
Gravina AG, Pellegrino R, Zagari RM.
europepmc   +1 more source

Ambient technology in epilepsy clinical practice

Epilepsia Open, EarlyView.
Abstract The utilization of large language model‐based artificial intelligence (AI) in the field of neurology has gained attention as a viable tool to enhance and assist providers with processes ranging from scheduling patients to providing preliminary interpretations of testing results, pending orders, and documenting encounters. Epileptologists could
Haania Kakwan, Justin F. Rousseau, Lidia M. Moura, Irfan S. Sheikh   +3 more
wiley   +1 more source

The use and methodological reporting of large language models in qualitative research: a scoping review. [PDF]

BMC Med Res Methodol
Kempny C, Frings J, Rust P, Meister S, Fehring L.   +4 more
europepmc   +1 more source

Integration of large language models and evidence-based Chinese medicine: A scoping review. [PDF]

Integr Med Res
Yao Y, Liu H, Yang D, Luo X, Lai H, Wang Z, Chen Y, Bian Z.   +7 more
europepmc   +1 more source

Benchmarking reliability and calibration of LLMs for multi-cancer early detection test communication. [PDF]

JAMIA Open
Takabatake K, Rosito MS, Braun D, Marinac C, O'Donnell E, Parmigiani G.   +5 more
europepmc   +1 more source

Open-Source Large Language Models and AI Health Equity: A Health Service Triangle Model Perspective. [PDF]

J Med Internet Res
Wu S, Zou W, Tu J, Wang C, Jin C, Liao J, Tang KC, Liu N, Hao C.   +8 more
europepmc   +1 more source