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Subcategories: Diagnostic Radiology Nuclear Medicine Therapeutic Radiology

Showing 1072-1092 of 16,010 articles

A strategy for multimodal integration of transcriptomics, proteomics, and radiomics data for the prediction of recurrence in patients with IDH-mutant gliomas.

Isocitrate dehydrogenase-mutant gliomas are lethal brain cancers that impair quality of life in youn...

Apr 2025 PMID: 40214613

External Validation of an Artificial Intelligence Algorithm Using Biparametric MRI and Its Simulated Integration with Conventional PI-RADS for Prostate Cancer Detection.

PURPOSE: Prostate imaging reporting and data systems (PI-RADS) experiences considerable variability ...

Apr 2025 PMID: 40221284

Future prospects of deep learning in esophageal cancer diagnosis and clinical decision support (Review).

Esophageal cancer (EC) is one of the leading causes of cancer-related mortality worldwide, still fac...

Apr 2025 PMID: 40271007

IT: An interpretable transformer model for Alzheimer's disease prediction based on PET/MR images.

Alzheimer's disease (AD) represents a significant challenge due to its progressive neurodegenerative...

Apr 2025 PMID: 40222500

Leveraging deep learning for improving parameter extraction from perfusion MR images: A narrative review.

BACKGROUND: Perfusion magnetic resonance imaging (MRI) is a non-invasive technique essential for ass...

Apr 2025 PMID: 40215839

Predicting the efficacy of microwave ablation of benign thyroid nodules from ultrasound images using deep convolutional neural networks.

BACKGROUND: Thyroid nodules are frequent in clinical settings, and their diagnosis in adults is grow...

Apr 2025 PMID: 40217199

Predicting PD-L1 status in NSCLC patients using deep learning radiomics based on CT images.

Radiomics refers to the utilization of automated or semi-automated techniques to extract and analyze...

Apr 2025 PMID: 40216830

Evaluating the dosimetric and positioning accuracy of a deep learning based synthetic-CT model for liver radiotherapy treatment planning.

An MRI-only workflow requires synthetic computed tomography (sCT) images to enable dose calculation....

Apr 2025 PMID: 40174606

Active case finding using mobile vans with artificial intelligence aided radiology tests and sputum collection for rapid diagnostic tests to reduce tuberculosis prevalence among high-risk population in rural China: Protocol for a pragmatic trial.

BACKGROUND: Tuberculosis (TB) remains a significant public health challenge, particularly in rural a...

Apr 2025 PMID: 40215230

Image quality improvement in head and neck angiography based on dual-energy CT and deep learning.

OBJECTIVE: Compare the image quality of image reconstructed using deep learning-based image reconstr...

Apr 2025 PMID: 40211222

Enhancing neurological disease diagnostics: fusion of deep transfer learning with optimization algorithm for acute brain stroke prediction using facial images.

Stroke is a main risk to life and fitness in current society, particularly in the aging population. ...

Apr 2025 PMID: 40210979

Machine Learning-Based Algorithm to Predict Procedural Success in a Large European Cohort of Hybrid Chronic Total Occlusion Percutaneous Coronary Interventions.

CTOs are frequently encountered in patients undergoing invasive coronary angiography. Even though te...

Apr 2025 PMID: 40204173

Integrated brain connectivity analysis with fMRI, DTI, and sMRI powered by interpretable graph neural networks.

Multimodal neuroimaging data modeling has become a widely used approach but confronts considerable c...

Apr 2025 PMID: 40250104

Habitat Radiomics Based on MRI for Predicting Metachronous Liver Metastasis in Locally Advanced Rectal Cancer: a Two‑center Study.

RATIONALE AND OBJECTIVES: This study aimed to explore the feasibility of using habitat radiomics bas...

Apr 2025 PMID: 40204586

Browse Specialties

A strategy for multimodal integration of transcriptomics, proteomics, and radiomics data for the prediction of recurrence in patients with IDH-mutant gliomas.

External Validation of an Artificial Intelligence Algorithm Using Biparametric MRI and Its Simulated Integration with Conventional PI-RADS for Prostate Cancer Detection.

Future prospects of deep learning in esophageal cancer diagnosis and clinical decision support (Review).

IT: An interpretable transformer model for Alzheimer's disease prediction based on PET/MR images.

Leveraging deep learning for improving parameter extraction from perfusion MR images: A narrative review.

Predicting the efficacy of microwave ablation of benign thyroid nodules from ultrasound images using deep convolutional neural networks.

Predicting PD-L1 status in NSCLC patients using deep learning radiomics based on CT images.

Evaluating the dosimetric and positioning accuracy of a deep learning based synthetic-CT model for liver radiotherapy treatment planning.

Active case finding using mobile vans with artificial intelligence aided radiology tests and sputum collection for rapid diagnostic tests to reduce tuberculosis prevalence among high-risk population in rural China: Protocol for a pragmatic trial.

Image quality improvement in head and neck angiography based on dual-energy CT and deep learning.

Enhancing neurological disease diagnostics: fusion of deep transfer learning with optimization algorithm for acute brain stroke prediction using facial images.

Machine Learning-Based Algorithm to Predict Procedural Success in a Large European Cohort of Hybrid Chronic Total Occlusion Percutaneous Coronary Interventions.

Integrated brain connectivity analysis with fMRI, DTI, and sMRI powered by interpretable graph neural networks.

Habitat Radiomics Based on MRI for Predicting Metachronous Liver Metastasis in Locally Advanced Rectal Cancer: a Two‑center Study.

Change of Heart: Can Artificial Intelligence Transform Infective Endocarditis Management?

Novel deep learning algorithm based MRI radiomics for predicting lymph node metastases in rectal cancer.

Extracting Pulmonary Embolism Diagnoses From Radiology Impressions Using GPT-4o: Large Language Model Evaluation Study.

Advances in MRI optic nerve segmentation.

Point-of-care ultrasound in obstetric anesthesia clinical practice.

Aligning, Autoencoding and Prompting Large Language Models for Novel Disease Reporting.

NeuroNasal: Advanced AI-Driven Self-Supervised Learning Approach for Enhanced Sinonasal Pathology Detection.

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