Radiology

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

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Artificial Intelligence Enhances Diagnostic Accuracy of Contrast Enemas in Hirschsprung Disease Compared to Clinical Experts.

Contrast enema (CE) is widely used in the evaluation of suspected Hirschsprung disease (HD). Deep le...

Acousto-Electric Conversion Fiber Networks via Regional Activation of Schwann Cell-Derived Exosomes for Neurogenic Bone Regeneration.

Neurogenic bone regeneration is essential for the effective restoration of bone tissue functionality...

Artificial intelligence-augmented ultrasound diagnosis of follicular-patterned thyroid neoplasms: a multicenter retrospective study.

BACKGROUND: Conventional diagnostic tools, including ultrasound, fine-needle aspiration cytology, an...

Evolving role of point-of-care ultrasound in prehospital emergency care: a narrative review.

Point-of-care ultrasound is an emerging technology in prehospital emergency care, covering a wide ra...

PETFormer-SCL: a supervised contrastive learning-guided CNN-transformer hybrid network for Parkinsonism classification from FDG-PET.

PURPOSE: Accurate differentiation of Parkinsonism subtypes-including Parkinson's disease (PD), multi...

Classification of Renal Lesions by Leveraging Hybrid Features from CT Images Using Machine Learning Techniques.

Renal cancer is amid the several reasons of increasing mortality rates globally, which can be reduce...

A hybrid learning approach for MRI-based detection of alzheimer's disease stages using dual CNNs and ensemble classifier.

Alzheimer's Disease (AD) and related dementias are significant global health issues characterized by...

Deep Learning Applications in Lymphoma Imaging.

Lymphomas are a diverse group of disorders characterized by the clonal proliferation of lymphocytes....

Closed-loop transcranial ultrasound stimulation based on deep learning effectively suppresses epileptic seizures in mice.

Transcranial ultrasound stimulation is a non-invasive neuromodulation technique characterized by its...

Early breast cancer detection via infrared thermography using a CNN enhanced with particle swarm optimization.

Breast cancer remains the most prevalent cause of cancer-related mortality among women worldwide, wi...

AI-powered disease progression prediction in multiple sclerosis using magnetic resonance imaging: a systematic review and meta-analysis.

BACKGROUND: Disability progression despite disease-modifying therapy remains a major challenge in mu...

The role of neuro-imaging in multiple system atrophy.

Neuroimaging plays a crucial role in diagnosing multiple system atrophy and monitoring progressive n...

Accelerated brain magnetic resonance imaging with deep learning reconstruction: a comparative study on image quality in pediatric neuroimaging.

BACKGROUND: Magnetic resonance imaging (MRI) is crucial in pediatric radiology; however, the prolong...

Machine Learning-Assisted Multimodal Early Screening of Lung Cancer Based on a Multiplexed Laser-Induced Graphene Immunosensor.

Lung cancer remains the leading cause of cancer-related mortality worldwide, largely due to late-sta...

Automated MRI protocoling in neuroradiology in the era of large language models.

PURPOSE: This study investigates the automation of MRI protocoling, a routine task in radiology, usi...

Effect of data-driven motion correction for respiratory movement on lesion detectability in PET-CT: a phantom study.

PURPOSE: While data-driven motion correction (DDMC) techniques have proven to enhance the visibility...

Diffusion-weighted imaging in rectal cancer MRI from theory to practice.

Diffusion-weighted imaging (DWI) has become a cornerstone of high-resolution rectal MRI, providing c...

MRI sequence focused on pancreatic morphology evaluation: three-shot turbo spin-echo with deep learning-based reconstruction.

BackgroundHigher-resolution magnetic resonance imaging sequences are needed for the early detection ...

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