Results 211 to 220 of about 126,742 (252)

Evaluation of the Reliability and Quality of Nursing Care Plans Produced by Artificial Intelligence Models for Patients Experiencing Anaphylactic Shock: A Methodological and Exploratory Investigation. [PDF]

Florence Nightingale J Nurs
Soylu A, Soylu D.
europepmc   +1 more source

A Generalizable Multimodal Model for Treatment‐Stratified Risk and Survival Assessment under Real‐World Constraints: A Multi‐Center Study of Colorectal Cancer

Advanced Science, EarlyView.
DAIMS is a multimodal model for treatment stratified risk and survival assessment in colorectal cancer. Training draws on pathology, genomics, and clinical reports, yet inference requires only whole slide images, and adaptation to new cohorts proceeds without target survival outcomes.
Chuangjie Cao, Zheyi Ji, Chang He, Jiying Wang, Xiaoming Luo, Junyi Liu, Xiaohu Jing, Fang Yan, Yirong Chen, Linhao Qu, Sen Yang, Le Lu, Yuming Jiang, Xiyue Wang, Chengyun Dou, Junhan Zhao   +15 more
wiley   +1 more source

Flatfoot and artificial intelligence: Can language models be trusted for patient education? [PDF]

Medicine (Baltimore)
Usta HE, Ünlü R.
europepmc   +1 more source

Rhizodeposition Drives One Third of Belowground Carbon Input in Agroecosystems

Advanced Science, EarlyView.
This study quantifies photosynthesized C allocation in the plant–soil system across six crop types: barley, wheat, maize, rice, legumes and grasses. It reports C partitioning into shoot respiration, shoot‐C, root‐C, net rhizodeposition and root‐derived CO2, providing standardized percentage averages and GPP‐derived absolute values as a robust baseline ...
Zhengjun Yan, Yuan Wen, Jie Zhou, Yakov Kuzyakov, Damien Beillouin, Johannes Lehmann, Yadong Yang, Yiqi Luo, Pete Smith, Zhaohai Zeng, Huadong Zang   +10 more
wiley   +1 more source

Lexical Diffusion: Linguistic Characteristics of Ophthalmology Science Articles with Disclosed Artificial Intelligence-Assisted Writing. [PDF]

Ophthalmol Sci
Inooka T, Yuki K, Nishiguchi KM.
europepmc   +1 more source

Bridging Chemical Literature and Molecular Graphs: LLM‐Augmented Enantioselectivity Prediction for Iridium‐Catalyzed Asymmetric C–H Borylation

Advanced Science, EarlyView.
A machine‐learning framework for asymmetric C–H borylation bridges multi‐entity 3D molecular graphs and chemical literature. Atom‐resolved mechanistic annotations extracted by large language models augment three‐component graph encoding of catalyst, substrate, and product. The model predicts enantioselectivity with high accuracy on unseen scaffolds and
Zhe Wang, Baohua Zhang, Yi Isaac Yang, Yuan Yao, Yinwu Li   +4 more
wiley   +1 more source

Performance evaluation of large language models in bladder cancer patient education Q&A: a cross-sectional study. [PDF]

Front Oncol
Wan D, Li Y, Dong Z, Dai C, Ye J, Li S, Jiang S.   +6 more
europepmc   +1 more source

Trap‐Programmable Ruddlesden–Popper Perovskite Nanocrystals for Persistent Optoelectronic Memory and Photonic Synapses

Advanced Science, EarlyView.
This work presents trap‐programmable Ruddlesden–Popper perovskite nanocrystals for ultralong‐lived optical memory and photonic synapses. Layer‐controlled octahedral distortion modulates trap depth and carrier‐storage kinetics, enabling persistent luminescence beyond 5000 s at room temperature.
Xuanyu Zhu, Qi Liu, Qi Wei, Hui Ren, Luwei Zhou, Jiangbo Peng, Yuxuan Chen, Jiatong Wang, Leyi Zhao, Pengzhi Wang, Xue Hao, Ting Wang, Mingjie Li   +12 more
wiley   +1 more source