Radiology

Latest AI and machine learning research in radiology for healthcare professionals.

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Hands-on Artificial Intelligence Education for Radiology Residents: A Three-year Feasibility and Curriculum Implementation Study.

RATIONALE AND OBJECTIVES: Artificial intelligence (AI) has rapidly transformed radiology practice, y...

(4)
Sep 2026 42701044
The Translational Gap in AI for Oropharyngeal Squamous Cell Carcinoma: A TRIPOD+AI Scoping Review of Methodological Barriers to Treatment Deintensification.

RATIONALE AND OBJECTIVES: To map artificial intelligence (AI) and radiomics applications in computed...

(2)
Sep 2026 42701048
Ultrasound Habitat Radiomics for Preoperative Prediction of Invasive Breast Cancer With a DCIS Component: A Dual-center Retrospective Study.

PURPOSE: To develop and externally validate an ultrasound-based habitat subregional radiomics model ...

Sep 2026 42701070
Electro-mechanical risk score for coronary artery disease risk estimation using seismocardiography.

AIMS: Coronary artery disease (CAD) remains a leading cause of morbidity. Existing clinical likeliho...

(2)
Sep 2026 42712931
A machine learning-based framework for analyzing mitral regurgitation-related signal patterns from photoplethysmography.

OBJECTIVES: This study investigates the feasibility of using photoplethysmography (PPG) signals for ...

(1)
Sep 2026 42695339
Identification of Immune Response-Related Proteomic Biomarkers in Moyamoya Disease Using Serum Olink Proteomics.

Moyamoya disease, a rare chronic cerebrovascular disorder, requires invasive digital subtraction ang...

(1)
Sep 2026 42695863
Bibliometric analysis of 50 years of publications in Skeletal Radiology (1976-2025): trends, impact, and global collaboration patterns.

OBJECTIVE: To conduct a comprehensive bibliometric analysis of 50 years of publications in Skeletal ...

(1)
Sep 2026 42696170
Altered dynamic functional connectivity of the language network associated with electronegative L5 in patients with mild cognitive impairment.

Language impairment is increasingly recognized as an early marker of neurodegeneration in mild cogni...

(2)
Sep 2026 42696254
MST-Net: a multi-scale spatial transformation network for automated T2/T3 staging of rectal cancer on preoperative T2-weighted MRI.

OBJECTIVE: This study aimed to develop a deep learning model (MST-Net) for the segmentation-free aut...

Sep 2026 42698053
Improved virtual non-contrast images in liver dual-energy CT with deep learning algorithm for image reconstruction.

BACKGROUND: We aimed to explore the use of deep learning image reconstruction (DLIR) to improve virt...

(3)
Sep 2026 42690280
Long-PVSUNet: A Longitudinal Deep Learning Framework for Count-Oriented Perivascular Space Segmentation in Brain MRI.

Enlarged perivascular spaces (ePVS) are small, sparse MRI-visible markers of cerebral small vessel d...

(1)
Sep 2026 42690525
AI-Powered Detection of Left Ventricular Myocardial Scar from Dual-Sequence CT: Global and Segmental Prediction Validated by CMR​.

Myocardial scar is a critical pathological substrate, often identified using cardiac magnetic resona...

(1)
Sep 2026 42690527
Lightweight Transformer-based knowledge distillation framework for high-dimensional spatiotemporal radiomics in breast cancer risk prediction.

Breast cancer exhibits significant spatiotemporal heterogeneity. Traditional radiomics approaches us...

Sep 2026 42690533
Adaptive Parallax-Based Contrast Enhancement for Power-Efficient Stereoscopic OLED Displays.

Organic light-emitting diode (OLED)-based augmented and virtual reality (AR/VR) technologies are bec...

(1)
Sep 2026 42691000
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