Results 211 to 220 of about 29,055 (302)

Identifying Venous Insufficiency in Head and Neck Reconstruction Flaps Using Machine Learning and Deep Learning Methods

Head &Neck, EarlyView.
ABSTRACT Background Venous insufficiency is a major cause of flap failure in head and neck reconstruction. AI provides a reliable, convenient solution for early detection. Methods Clinical data and postoperative flap photos of head and neck cancer patients (2018–2024) at our center were retrospectively collected, categorized into normal and venous ...
Yurong He, Jugao Fang, Lizhen Hou, Zufei Li, Shizhi He, Yanming Zhao, Qijia Li, Rongjia Li, Xiaoyu Shi, Jiayi Yang, Qi Zhong   +10 more
wiley   +1 more source

Beyond Binary Cutoffs: An Explainable Machine Learning Framework for Individualized Diagnostic Reasoning in Suspected Urolithiasis. [PDF]

Diagnostics (Basel)
Cha K, Oh SH, Shin J, Lim JY.
europepmc   +1 more source

From prediction to actionable mechanisms: Explainable multi‑omics AI for farm‑to‑fork postharvest preservation

iMeta, EarlyView.
Graphical overview of explainable artificial intelligence (XAI) for farm‐to‐fork postharvest preservation. Postharvest deterioration accumulates across orchard, packhouse, refrigerated transportation, warehouse, and distribution stages under fluctuating temperature, humidity, atmosphere, and mechanical stress.
Peihua Ma, Xiaoxue Jia, Bei Fan, Boqiang Li, Tao Lin, Jiping Sheng, Cheng‐I Wei, Yingjian Lu, Yizhou Ma, Lin Chen, Songtao Jiu, Fengzhong Wang   +11 more
wiley   +1 more source

Enhancing Omics Analyses Through Coalitional Games and Shapley Values. [PDF]

Methods Protoc
Vargas E, de la Torre I, Esteban FJ.
europepmc   +1 more source

Polymer informatics: Integrating data‐driven strategies, advanced machine learning, and automated synthesis for next‐generation polymer design

InfoScience, EarlyView.
Designing new polymers for applications such as sustainable plastics, biomaterials, and 3D printing has traditionally been slow and expensive, relying heavily on trial‐and‐error experiments. This review shows how polymer informatics—the integration of large polymer databases, machine‐learning models, and automated robotic synthesis—enables fast ...
Md. Saiful Islam, Tamanna Hoque, Junied Islam Shuvo, Sheta Roy Tori, Sadit Bihongo Malitha, Md. Zahangir Alam, A. M. Sarwaruddin Chowdhury   +6 more
wiley   +1 more source

The explainability of radiomic-based machine learning models for brain glioma grading on amide proton transfer-weighted images. [PDF]

Sci Rep
Gao X, Wang J.
europepmc   +1 more source

Artificial intelligence–driven decoupling structure–activity relationship for lithium‐ion batteries

InfoScience, EarlyView.
Artificial intelligence can efferently accelerate the high‐throughput screening of battery materials, the analysis of multiphase mechanisms, and the precise prediction of capacity and cycle life. This review systematically summarizes the applications of machine learning (ML) in decoupling the complex structure‐activity relationships of lithium‐ion ...
Tao Wang, Yuhang Meng, Tianhao Chen, Xiangfen Jiang, Yoshio Bando, Jinjue Zeng, Xuebin Wang   +6 more
wiley   +1 more source

Tbx16 and mesogenin 1 promote presomitic mesoderm differentiation by repressing the mesodermal progenitor cell state. [PDF]

PLoS Genet
Zhu G, Genuth MA, Xiao Y, Kindberg AA, Hackett K, Holley SA.   +5 more
europepmc   +1 more source

Multimodal MRI and multiomics reveal high‐risk neurophenotype in brain‐gut circuits as therapeutic target for Crohn's disease

Interdisciplinary Medicine, EarlyView.
Through a translational framework combining prospective dual‐center clinical cohorts with dextran sulfate sodium‐induced colitis models, this work integrated advanced neuroimaging, multi‐omics and neuromodulation interventions to redefine the high‐risk neurophenotype as a sustained pathogenic driver rather than a mere phenomenon, proposing brain‐gut ...
Xuehua Li, Ruonan Zhang, Xiaodi Shen, Shaochun Lin, Chuhuai Wang, Weikai Zheng, Weimiao Kong, Zihao Lin, Rongchang Li, Caiguang Liu, Xin Cao, Li Huang, Weitao He, Jinjiang Lin, Haijie Wang, Zhoulei Li, Marietta Iacucci, Subrata Ghosh, Zhenpeng Peng, Canhui Sun, Minhu Chen, Guang Yang, Yejun Wang, Ren Mao, Shi‐Ting Feng   +24 more
wiley   +1 more source

Understanding Transformer-Based Classifications of Medical Text Using a Large Language Model for the Attribution of Feature Importance: Proof-of-Concept Algorithm Development and Validation Study. [PDF]

JMIR Med Inform
Zhou F, Saha A, Afzal M, Parrish R, Haynes RB, Iorio A, Lokker C.   +6 more
europepmc   +1 more source