Radiology

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

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Validation of MRI-based nnU-Net model for automated segmentation of neck lymph nodes in head and neck squamous cell carcinoma: a multicenter study.

PURPOSE: To develop and externally validate an MRI-based deep learning framework for automated 3D se...

Jun 2026 42321574
Artificial Intelligence-Assisted Wireless Handheld Ultrasound for Screening Developmental Dysplasia of the Hip in Infants.

OBJECTIVES: Ultrasonography is increasingly the preferred method for infant hip screening to enable ...

Jun 2026 42319217
Development and validation of the SYSU-score for MRI-based transmural healing assessment in Crohn's disease: a dual-center study.

OBJECTIVES: Standardizing magnetic resonance enterography (MRE)-defined transmural healing (TH) rema...

(1)
Jun 2026 42319405
GPT-4.1 and Llama 3.3 70 fail to detect clinically relevant errors in radiology reports in zero-shot evaluation.

OBJECTIVES: To evaluate whether GPT-4.1 and Llama 3.3 70B, large language models (LLMs) assessed in ...

Jun 2026 42319406
Standardizing PSMA PET/CT reporting in prostate cancer: from structured frameworks to AI-assisted interpretation.

PSMA PET/CT is increasingly used for prostate cancer staging, restaging, treatment selection, and th...

Jun 2026 42319425
Automatic metabolic breast cancer staging using [¹⁸F]FDG PET/CT: comparison with nuclear medicine physician-based and clinical staging.

PURPOSE: This study aimed to evaluate a deep-learning (DL)-based framework to automatically perform ...

Jun 2026 42319488
RDoC-informed explainable AI as a paradigm for multilevel Alzheimer's disease diagnosis and progression prediction: a systematic review.

Explainable Artificial Intelligence (XAI) is gaining popularity in early diagnosis and monitoring of...

Jun 2026 42319634
Establishing discard criteria for lead aprons using deep learning-based quantification of defect area on X-ray fluoroscopic video.

To establish an objective discard framework for lead aprons, defect areas quantified from X-ray fluo...

Jun 2026 42319669
Methodological quality of cardiac CT and MRI radiomics studies assessed using METRICS and RQS by human readers and ChatGPT 5.1 Thinking.

OBJECTIVE: To assess the methodological quality of cardiac CT and MRI radiomics studies using the ME...

Jun 2026 42319678
Synchronous wearable ultrasound for early detection of coronary and carotid artery comorbidity.

Coronary heart disease (CHD) and carotid artery disease (CAD) often co-occur. However, conventional ...

Jun 2026 42319947
From diagnostic labels to radiology reports: a unified multi-modal framework for lesion detection and segmentation.

Deep learning-based vision models are playing an increasingly pivotal role in clinical diagnosis and...

(2)
Jun 2026 42320491
Retinal Microvascular Signatures as Early Predictors of Cardiovascular Risk: Integrating Pathophysiology, Molecular Insights, and Artificial Intelligence.

Cardiovascular diseases (CVDs) continue to be a significant public health burden and public health e...

Jun 2026 42320613
Combination of color-Doppler ultrasound and MRI to improve lacrimal gland lesion characterization: A machine learning approach.

PURPOSE: The purpose of this study was to develop a machine learning-based algorithm based on a comb...

Jun 2026 42321106
Mechanochemical disassembly pathways of self-assembled polymer-decorated PdnL2n supramolecular architectures.

Supramolecular PdnL2n architectures are versatile molecular platforms with applications spanning cat...

Jun 2026 42321235
HybridViT for robust wheat leaf disease detection using CLAHE and attention-based feature fusion.

Wheat (Triticum aestivum L.) is a staple crop of paramount importance to global food security; howev...

Jun 2026 42321270
Deep learning-based myocardial infarction detection using echocardiography.

Myocardial infarction (MI) is a life-threatening condition caused by reduced oxygen supply to the he...

(1)
Jun 2026 42321627
Preoperative prediction of thymoma risk classification with machine learning-based computed tomography radiomics features.

BACKGROUND: Thymomas are primarily assessed using chest computed tomography (CT); however, this meth...

Jun 2026 42321768
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