Radiology

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

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Association of the characteristics of brain magnetic resonance imaging with genes related to disease onset in schizophrenia patients.

BACKGROUND: Schizophrenia (SCH) is a complex neurodevelopmental disorder, whose pathogenesis is not ...

Identification of testicular cancer with T2-weighted MRI-based radiomics and automatic machine learning.

BACKGROUND: Distinguishing between benign and malignant testicular lesions on clinical magnetic reso...

Fine-tuned deep learning models for early detection and classification of kidney conditions in CT imaging.

The kidney plays a vital role in maintaining homeostasis, but lifestyle factors and diseases can lea...

Diffusion MRI GAN synthesizing fibre orientation distribution data using generative adversarial networks.

Machine learning may enhance clinical data analysis but requires large amounts of training data, whi...

Intelligent Bi-Dimensional Skin Biopsies of Rheumatoid Arthritis Based on Raman Spectral Imaging and Machine Learning.

Rheumatoid arthritis (RA) is one of the most common autoimmune diseases worldwide, characterized by ...

Deep learning-based reconstruction for three-dimensional volumetric brain MRI: a qualitative and quantitative assessment.

BACKGROUND: To evaluate the performance of a deep learning reconstruction (DLR) based on Adaptive-Co...

Multimodal medical image fusion combining saliency perception and generative adversarial network.

Multimodal medical image fusion is crucial for enhancing diagnostic accuracy by integrating compleme...

IR-GPT: AI Foundation Models to Optimize Interventional Radiology.

Foundation artificial intelligence (AI) models are capable of complex tasks that involve text, medic...

Automated segmentation of brain metastases in T1-weighted contrast-enhanced MR images pre and post stereotactic radiosurgery.

BACKGROUND AND PURPOSE: Accurate segmentation of brain metastases on Magnetic Resonance Imaging (MRI...

Improved MRI detection of inflammation-induced changes in bone marrow microstructure in mice: a machine learning-enhanced T2 distribution analysis.

BACKGROUND: We investigated inflammation-induced changes in femoral hematopoietic bone marrow using ...

Harnessing the oloid shape in magnetically driven robots to enable high-resolution ultrasound imaging.

Magnetic fields enable remote manipulation of objects and are ideal for medical applications because...

Deep learning-based segmentation of head and neck organs at risk on CBCT images with dosimetric assessment for radiotherapy.

Cone beam computed tomography (CBCT) has become an essential tool in head and neck cancer (HNC) radi...

Using Optimal Feature Selection and Continuous Learning to Implement Efficient Model Arrays for Predicting Daily Clinical Radiology Workload.

RATIONALE AND OBJECTIVE: Clinical workload can fluctuate daily in radiology practice. We sought to d...

Ensemble network using oblique coronal MRI for Alzheimer's disease diagnosis.

Alzheimer's disease (AD) is a primary degenerative brain disorder commonly found in the elderly, Mil...

Thyroid nodule classification in ultrasound imaging using deep transfer learning.

BACKGROUND: The accurate diagnosis of thyroid nodules represents a critical and frequently encounter...

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