Results 221 to 230 of about 106,048 (268)

Transformer‐Based Deep Learning Integrating Multi‐Regional MRI and Clinical Features for Predicting Biochemical Recurrence After Radical Prostatectomy: A Multicenter Study

open access: yesCancer Medicine, Volume 15, Issue 10, October 2026.
ABSTRACT Background Existing deep learning models for predicting biochemical recurrence (BCR) after radical prostatectomy often ignore the biological context beyond the tumor. This study aims to develop and validate a transformer‐based model combining multi‐regional magnetic resonance imaging (MRI) features and clinical data to improve BCR prediction ...
Mengting Zhou   +8 more
wiley   +1 more source

A non-invasive nomogram for high-risk esophageal varices in cirrhosis without transient elastography: development and internal validation. [PDF]

open access: yesFront Med (Lausanne)
Wu Y   +11 more
europepmc   +1 more source

Development and Validation of a Prediction Model for Acute Coronary Occlusion in Patients With Non‐ST‐Segment Elevation Myocardial Infarction

open access: yesClinical Cardiology, Volume 49, Issue 10, October 2026.
A multidimensional nomogram incorporating clinical, electrocardiographic, echocardiographic, myocardial injury, and inflammatory markers may help identify NSTEMI patients at high risk of acute coronary occlusion before angiography. ABSTRACT Background Acute coronary occlusion (ACO) occurs in approximately one‐quarter of patients with non‐ST‐segment ...
Qicheng Yu   +8 more
wiley   +1 more source

Refining risk stratification after indeterminate urinary cytology: Evidence from Bladder EpiCheck

open access: yesCancer Cytopathology, Volume 134, Issue 10, October 2026.
Abstract Background This study aimed to evaluate Bladder EpiCheck (BE) performance in detecting urothelial carcinoma (UC) and HG (high‐grade) events in patients with indeterminate cytology and negative cystoscopy. Methods This prospective study included 63 patients who presented with indeterminate urinary cytology and negative cystoscopy between ...
Claudia Mercader   +12 more
wiley   +1 more source

Artificial Intelligence in Gastric Cancer: Diagnostic, Prognostic, and Predictive Developments, Evidence Maturity, and Translational Challenges

open access: yesCancer Reports, Volume 9, Issue 10, October 2026.
ABSTRACT Background Gastric cancer (GC) remains a major global health burden characterized by substantial heterogeneity in diagnosis, prognosis, and treatment response. Artificial intelligence (AI), including machine learning (ML) and deep learning (DL), has been increasingly investigated for the analysis of endoscopic images, radiological scans, whole‐
Chong Chen   +6 more
wiley   +1 more source

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