Radiology

Radiomics-based prediction of pituitary adenoma consistency: a systematic review and meta-analysis.

PURPOSE: Pituitary adenoma consistency significantly influences surgical strategy and outcomes, yet ...

Quantitative MRI for World Health Organisation/International Society of Urological Pathology Grading of Renal Cell Carcinoma: a systematic review and diagnostic meta-analysis.

OBJECTIVES: To synthesise evidence on quantitative MRI biomarkers for predicting World Health Organi...

Deep learning model for the prediction of lymph node metastasis in esophageal squamous cell carcinoma using MIP FDG-PET images: a retrospective validation study.

PURPOSE: Accurate preoperative diagnosis of lymph node (LN) metastasis in esophageal squamous cell c...

Letter to the Editor: Training the diagnostic artificial intelligence in thyroid sonography: how well is deep learning truly learning?

4D Ultrafast Ultrasound: the next revolution in biomedical imaging.

Four-dimensional ultrafast ultrasound imaging is emerging as a major paradigm shift in biomedical im...

Comprehensive Artificial Intelligence Based Analysis of Pre- and Post-operative Computed Tomography Scans in Patients Undergoing Endovascular Abdominal Aortic Repair.

OBJECTIVE: Endovascular aortic repair (EVAR) requires lifelong imaging surveillance to monitor poten...

Real-time AI-assisted nerve tracking for ultrasound-guided nerve identification: a prospective randomized trial.

BACKGROUND: Artificial intelligence (AI)-assisted nerve tracking facilitates real-time ultrasound-gu...

Predicting Response to Somatostatin Analog Therapy in GEP-NET Liver Metastases: A Machine Learning Approach with ⁶⁸Ga-DOTATATE and ¹⁸F-FDG PET/CT.

BACKGROUND: Predicting response to somatostatin analogs (SSAs) in gastroenteropancreatic neuroendocr...

Artificial Intelligence in Respiratory Medicine: Applications, Methodological Challenges, and Clinical Translation.

Artificial intelligence (AI) is rapidly transforming respiratory medicine by enabling the integratio...

A knowledge-guided dual-path framework for automated liver MRI series classification.

PURPOSE: Accurate identification of liver MRI series is crucial for streamlining clinical workflows,...

Current status and future directions of AI in prostate cancer detection on MRI: a special report from the ESUR prostate MRI working group authors.

This report from the ESUR Prostate MRI Working Group assesses the current role of artificial intelli...

Development and Validation of a Picture Archiving and Communication System-Integrated Artificial Intelligence for Predicting Cervical Lymph Node Metastasis in Papillary Thyroid Carcinoma.

The objective of this study is to develop and validate a Picture Archiving and Communication System-...

Evaluation of clinical performance of artificial intelligence-assisted measurement of thoracic aortic diameter on non-contrast CT.

This study aimed to evaluate the clinical performance of artificial intelligence (AI)-assisted measu...

Gene-environment interactions shape cytokine-mediated inflammation and cardiovascular risk.

BACKGROUND: Chronic inflammation is a major driver of cardiovascular diseases, but mechanisms linkin...

Feasibility of deep learning-based image reconstruction using TrueFidelity for coronary calcium scoring.

We evaluated the feasibility of deep learning-based image reconstruction (DLIR) using GE TrueFidelit...

Hybrid quaternion-based denoising and deep feature fusion for early Alzheimer's prognosis.

Alzheimer's Disease (AD) is one of the most common neurodegenerative diseases that causes irreversib...

Automatic segmentation and modeling of the aortic vessel tree: Overview of the SEG.A 2023 aorta segmentation challenge.

The automated analysis of the aortic vessel tree (AVT) from computed tomography angiography (CTA) is...

An expert-level generalist AI for abdominal CT diagnosis.

Artificial intelligence (AI) in radiology aspires to deliver expert-level diagnosis across diverse c...

Development and validation of MRI-based radiomics models for predicting recurrence in patients with spine and pelvis chordomas.

BACKGROUND: Spine and pelvis chordoma (SPC) is a rare and aggressive mesenchymal tumor with poor lon...

A deep learning-based algorithm for detecting significant in-stent restenosis in coronary CT angiography.

Coronary CT angiography (CCTA) is widely used for monitoring patients after stent implantation, but ...

World models for biomedicine.

Biological systems respond dynamically to changes in their environment, and predicting these respons...