Radiology

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

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Simulating mismatch between calibration and target population in AI for mammography the retrospective VAIB study.

AI cancer detection models require calibration to attain the desired balance between cancer detectio...

Weakly supervised language models for automated extraction of critical findings from radiology reports.

Critical findings in radiology reports are life threatening conditions that need to be communicated ...

Effective data selection via deep learning processes and corresponding learning strategies in ultrasound image classification.

In this study, we propose a novel approach to enhancing transfer learning by optimizing data selecti...

From Genome to Phenome: Opportunities and Challenges of Molecular Imaging.

The study of the human phenome is essential for understanding the complexities of wellness and disea...

Deep learning approach based on a patch residual for pediatric supracondylar subtle fracture detection.

Supracondylar humerus fractures in children are among the most common elbow fractures in pediatrics....

Deep learning segmentation of periarterial and perivenous capillary-free zones in optical coherence tomography angiography.

SIGNIFICANCE: Automated segmentation of periarterial and perivenous capillary-free zones (CFZs) in o...

Interpretable MRI-Based Deep Learning for Alzheimer's Risk and Progression.

Timely intervention for Alzheimer's disease (AD) requires early detection. The development of immuno...

Deep learning approaches for classification tasks in medical X-ray, MRI, and ultrasound images: a scoping review.

Medical images occupy the largest part of the existing medical information and dealing with them is ...

Enhancing efficient deep learning models with multimodal, multi-teacher insights for medical image segmentation.

The rapid evolution of deep learning has dramatically enhanced the field of medical image segmentati...

Automated Detection of Black Hole Sign for Intracerebral Hemorrhage Patients Using Self-Supervised Learning.

BACKGROUND AND PURPOSE: Intracerebral Hemorrhage (ICH) is a devastating form of stroke. Hematoma exp...

Prompt Engineering for Large Language Models in Interventional Radiology.

Prompt engineering plays a crucial role in optimizing artificial intelligence (AI) and large languag...

The added value of artificial intelligence using Quantib Prostate for the detection of prostate cancer at multiparametric magnetic resonance imaging.

PURPOSE: Artificial intelligence (AI) has been proposed to assist radiologists in reporting multipar...

Enhancing Obstetric Decision-Making With AI: A Systematic Review of AI Models for Predicting Mode of Delivery.

Accurate prediction of the mode of delivery is critical for optimizing maternal and neonatal outcome...

Speckle pattern analysis with deep learning for low-cost stroke detection: a phantom-based feasibility study.

SIGNIFICANCE: Stroke is a leading cause of disability worldwide, necessitating rapid and accurate di...

Synthetic Lung Ultrasound Data Generation Using Autoencoder With Generative Adversarial Network.

Class imbalance is a significant challenge in medical image analysis, particularly in lung ultrasoun...

Unsupervised Test-Time Adaptation for Hepatic Steatosis Grading Using Ultrasound B-Mode Images.

Ultrasound (US) is considered a key modality for the clinical assessment of hepatic steatosis (i.e.,...

BentRay-NeRF: Bent-Ray Neural Radiance Fields for Robust Speed-of-Sound Imaging in Ultrasound Computed Tomography.

Ultrasound computed tomography (USCT) is a promising technique for breast cancer detection because o...

Artificial intelligence demonstrates potential to enhance orthopaedic imaging across multiple modalities: A systematic review.

PURPOSE: While several artificial intelligence (AI)-assisted medical imaging applications are report...

Two distinct trajectories of brain volume loss in myotonic dystrophy type 1 via machine learning.

Myotonic dystrophy Type 1 is a disorder that affects multiple systems, including the muscles and the...

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