Radiology

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

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Deep learning 3D super-resolution radiomics model based on Gd-enhanced MRI for improving preoperative prediction of HCC pathological grading.

PURPOSE: The histological grade of hepatocellular carcinoma (HCC) is an important factor associated ...

Jul 2025 40627133
MTMedFormer: multi-task vision transformer for medical imaging with federated learning.

Deep learning has revolutionized medical imaging, improving tasks like image segmentation, detection...

Jul 2025 40627238
A novel UNet-SegNet and vision transformer architectures for efficient segmentation and classification in medical imaging.

Medical imaging has become an essential tool in the diagnosis and treatment of various diseases, and...

Jul 2025 40627277
Development of a deep learning model for predicting skeletal muscle density from ultrasound data: a proof-of-concept study.

Reduced muscle mass and function are associated with increased morbidity, and mortality. Ultrasound,...

Jul 2025 40627283
Deep Learning Approach for Biomedical Image Classification.

Biomedical image classification is of paramount importance in enhancing diagnostic precision and imp...

Jul 2025 40627296
Confidence-Driven Deep Learning Framework for Early Detection of Knee Osteoarthritis.

Knee Osteoarthritis (KOA) is a prevalent musculoskeletal disorder that severely impacts mobility and...

Jul 2025 40627470
Integrating radiomic texture analysis and deep learning for automated myocardial infarction detection in cine-MRI.

Robust differentiation between infarcted and normal myocardial tissue is essential for improving dia...

Jul 2025 40628813
Robust Bi-CBMSegNet framework for advancing breast mass segmentation in mammography with a dual module encoder-decoder approach.

Breast cancer is a prevalent disease affecting millions of women worldwide, and early screening can ...

Jul 2025 40628947
Inter-AI Agreement in Measuring Cine MRI-Derived Cardiac Function and Motion Patterns: A Pilot Study.

Manually analyzing a series of MRI images to obtain information about the heart's motion is a time-c...

Jul 2025 40629198
Artificial intelligence in cardiac sarcoidosis: ECG, Echo, CPET and MRI.

PURPOSE OF REVIEW: Cardiac sarcoidosis is a form of inflammatory cardiomyopathy that varies in its c...

Jul 2025 40620172
Gut microbiota composition is related to anxiety and aggression scores in companion dogs.

There is mounting evidence for a link between behaviour and the gut microbiome in animal and human h...

Jul 2025 40624095
Integrating Machine Learning into Myositis Research: a Systematic Review.

Idiopathic inflammatory myopathies (IIM) are a group of autoimmune rheumatic diseases characterized ...

Jul 2025 40624382
Automated Laser Modified EndoGraft (ALMEG).

OBJECTIVES: To describe the technical details of a new and innovative method for modifying endograft...

Jul 2025 40624798
Dynamic abdominal MRI image generation using cGANs: A generalized model for various breathing patterns with extensive evaluation.

Organ motion is a limiting factor during the treatment of abdominal tumors. During abdominal interve...

Jul 2025 40628167
Efficient Ultrasound Breast Cancer Detection with DMFormer: A Dynamic Multiscale Fusion Transformer.

OBJECTIVE: To develop an advanced deep learning model for accurate differentiation between benign an...

Jul 2025 40628603
Impact of a computed tomography-based artificial intelligence software on radiologists' workflow for detecting acute intracranial hemorrhage.

PURPOSE: To assess the impact of a commercially available computed tomography (CT)-based artificial ...

Jul 2025 40622194
pyDOSEIA: A Python Package for Radiological Impact Assessment during Long-term or Accidental Atmospheric Releases.

pyDOSEIA is a Python package designed for meteorological data processing and radiological impact ass...

Jul 2025 40622262
Evaluation of AI-based detection of incidental pulmonary emboli in cardiac CT angiography scans.

Incidental pulmonary embolism (PE) is detected in 1% of cardiac CT angiography (CCTA) scans, despite...

Jul 2025 40622476
Usefulness of compressed sensing coronary magnetic resonance angiography with deep learning reconstruction.

PURPOSE: Coronary magnetic resonance angiography (CMRA) scans are generally time-consuming. CMRA wit...

Jul 2025 40622613
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