Results 231 to 240 of about 90,463 (317)

Predicting orchiectomy in testicular torsion using hybrid machine learning and explainable AI: a web-based clinical decision support system. [PDF]

World J Urol
Çift A, Kutlu H, Çoban F, Sulhan H, Sever S, Koç MK, Kılınç M, Kalyenci B.   +7 more
europepmc   +1 more source

Assessment of Multiple Prognostic Scores in Patients With Metastatic Renal Cell Carcinoma Receiving First‐Line, Immune‐Based Combinations

Cancer Reports, Volume 9, Issue 6, June 2026.
ABSTRACT Background Combination immunotherapy is widely used as first‐line treatment for metastatic renal cell carcinoma (mRCC), but pretreatment prognostic stratification remains insufficiently established. Aims To evaluate the performance of various prognostic scores in the first‐line treatment of metastatic renal cell carcinoma (mRCC) with ...
Hiromichi Sakurai, Masanobu Shiga, Shuya Kandori, Shota Takahashi, Akifumi Omiya, Tomoki Ishida, Kotoe Matsuda, Bunpei Isoda, Bryan J. Mathis, Manabu Komine, Masahiro Iinuma, Akira Joraku, Hiromitsu Negoro, Masakazu Tsutsumi, Takamitsu Inoue, Jun Miyazaki, Hiroyuki Nishiyama   +16 more
wiley   +1 more source

Nomogram-Based Prediction Model for Postherpetic Neuralgia in Immunosuppressive Patients. [PDF]

J Clin Med
Pan XY, Lu LN, Wang J, Mei LH, Yang G.
europepmc   +1 more source

Decoding Choroid Plexus Pathology in Alzheimer's Disease: A Longitudinal Radiomics Approach for Prodromal Identification and Risk Stratification

CNS Neuroscience &Therapeutics, Volume 32, Issue 6, June 2026.
A machine learning model utilizing choroid plexus (CP) radiomics effectively distinguishes Alzheimer's disease (AD) from mild cognitive impairment (MCI) and predicts MCI‐to‐AD progression risk. After integration with clinical features, the model exhibits strong predictive performance. The CP radiomics features correlate significantly with cognitive and
Feiyue Yin, Xiaohua Wang, Xiao Chen, Jinju Sun, Kai Zhang, Xiaojuan Dong, Wenwen Wang, Peng Zeng, Binglan Li, Lisha Nie, Dan Luo, Yongmei Li, Tianyou Luo, Alzheimer's Disease Neuroimaging Initiative   +13 more
wiley   +1 more source

Application of Artificial Intelligence in the Diagnosis, Prediction, and Management of Metabolic Syndrome: A Systematic Review

Health Science Reports, Volume 9, Issue 6, June 2026.
ABSTRACT Background and Aims Metabolic syndrome (MetS) is associated with increased risks of cardiovascular disease and type 2 diabetes, with recent global prevalence estimates of approximately 28%–31% in adults. Artificial intelligence (AI) and machine learning offer potential to improve risk stratification beyond conventional statistical methods ...
Aynaz Esmailzadeh, Narges Norouzkhani, Sara Sezavar Dokhtfaroughi, Alireza Rasoulian, Mohammad Reza Mazaheri Habibi   +4 more
wiley   +1 more source

Multi‐Omics and Machine Learning Integration Identifies Key Endothelial Modules in Carotid Artery Stenosis

Journal of Clinical Laboratory Analysis, Volume 40, Issue 11, June 2026.
This study integrates multi‐omics data (single‐cell RNA‐seq, bulk RNA‐seq, and proteomics) from carotid artery plaques to identify novel biomarkers for diagnosing stenosis. Through a computational pipeline involving cell population analysis, WGCNA, and machine learning models, we identified and validated NRP1 and XAF1 as key endothelial biomarkers ...
Jiayi Wu, Chunguang Guo, Linfeng Zhang, Gaopo Cai, Yi Liu, Kai Tang   +5 more
wiley   +1 more source

Deciphering nodal burden in thyroid carcinoma: A dedicated survey of age, lymph node ratio, log odds of positive nodes, and preoperative prediction models

Journal of Intelligent Medicine, Volume 3, Issue 2, Page 169-191, June 2026.
Abstract Evidence regarding the prognosis of thyroid carcinoma is heterogeneous, ranging from age effects and nodal burden metrics, such as lymph node ratio (LNR) and log odds of positive nodes (LODDS), to preoperative imaging models comprising ultrasound, CEUS, and radiomics.
Mennatallah Sherif, Mohanad A. Deif, Eman K. Elsayed   +2 more
wiley   +1 more source

Development and validation of a diagnostic nomogram based on peripheral blood composite inflammatory markers for complicated acute appendicitis: a retrospective study. [PDF]

Front Surg
Li M, Luo C, Qiu J, Luo J, Li L, Zhou C, Sun G, Wang M.   +7 more
europepmc   +1 more source