Results 261 to 270 of about 766,039 (346)

Exploring the growth and impact of artificial intelligence in anesthesiology: a bibliometric study from 2004 to 2024. [PDF]

Front Med (Lausanne)
Liu K, Qiu W, Yang X.
europepmc   +1 more source

Enhanced Actuation Stress in Variable Stiffness Liquid Crystal Elastomers

Advanced Intelligent Systems, EarlyView.
Liquid crystal elastomers (LCEs) filled with low‐melting‐point alloy particles exhibit a fivefold increase in actuation stress and tunable stiffness. At low filler concentrations, mechanically enhanced network entropy boosts force output, while higher concentrations enable variable stiffness. This composite design mimics muscle‐like behavior, advancing
Sophia Eristoff, Lina Sanchez‐Botero, Rebecca Kramer‐Bottiglio   +2 more
wiley   +1 more source

Patient Reactions to Artificial Intelligence-Clinician Discrepancies: Web-Based Randomized Experiment.

J Med Internet Res
Madanay F, O'Donohue LS, Zikmund-Fisher BJ.   +2 more
europepmc   +1 more source

Autofluorescence Imaging and Virtual Histological Staining of Human Prostate Sections for Cancer Diagnosis

Advanced Intelligent Systems, EarlyView.
Autofluorescence imaging with virtual histological staining streamlines postoperative histopathology. Using a deep ultraviolet light‐emitting diode (LED)‐based imaging system and a weakly supervised deep learning model, virtual hematoxylin and eosin (H&E)‐stained images are generated from the autofluorescence of prostate tissue. Pathologist evaluations
Mingxuan Si, Weixing Dai, Ivy H. M. Wong, Yan Zhang, Tony K. F. Ma, Ping Wing Ng, Kwok Hung Li, Sylvia M. S. Wong, John H. K. Ngan, Terence T. W. Wong   +9 more
wiley   +1 more source

Intelligent Prediction Platform for Sepsis Risk Based on Real-Time Dynamic Temporal Features: Design Study.

JMIR Med Inform
Zhang M, Zhong M, Cheng Y, Zhang T.
europepmc   +1 more source

R‐APEX: A Knowledge Graph–Based Platform for the Elucidation of the Toxicological Mechanisms of Ambient Particulate Matter

Advanced Intelligent Systems, EarlyView.
R‐APEX is a knowledge graph platform developed to investigate how air pollutants such as particularly fine particulate matter (PM2.5) affect human health. By integrating large‐scale biomedical data and using machine learning, it reveals pollutant–gene–disease associations.
Zhixing Zhu, Jingcheng Yang, Xiaofei Li, Zhijie Zheng, Georgi Z. Genchev, Yuchen Ye, Liang Liu, Zihan Ran   +7 more
wiley   +1 more source

Areas of research focus and trends in the research on the application of AIGC in healthcare. [PDF]

J Health Popul Nutr
Wang C, Zhu Y, Zhang X, Chen X, Li Y, Tan Y, Qi H.   +6 more
europepmc   +1 more source

Empowering Biomedical Research with Foundation Models in Computational Microscopy: A Systematic Review

Advanced Intelligent Systems, EarlyView.
The integration of foundation models into computational microscopy revolutionizes biomedical research by enhancing imaging resolution, accelerating data analysis, and enabling real‐time biological interpretation. This systematic review critically examines recent advancements, highlights translational challenges, and discusses the transformative ...
Di Ding, Tianliang Yao, Genyi Feng, Xueqing Gao, Xusen Sun, Rong Luo   +5 more
wiley   +1 more source

Health Care Social Robots in the Age of Generative AI: Protocol for a Scoping Review.

JMIR Res Protoc
Lempe PN, Guinemer C, Fürstenau D, Dressler C, Balzer F, Schaaf T.   +5 more
europepmc   +1 more source

The role of artificial intelligence in the prediction, identification, diagnosis and treatment of perinatal depression and anxiety among women in LMICs: a systematic review protocol. [PDF]

BMJ Open
Anaduaka US, Oladosu AO, Katsande S, Frempong CS, Awuku-Amador S.   +4 more
europepmc   +1 more source