Radiology

Deep Learning-Based Medical Ultrasound Image and Video Segmentation Methods: Overview, Frontiers, and Challenges.

The intricate imaging structures, artifacts, and noise present in ultrasound images and videos pose ...

A Multitask CNN for Near-Infrared Probe: Enhanced Real-Time Breast Cancer Imaging.

The early detection of breast cancer, particularly in dense breast tissues, faces significant challe...

Artificial Intelligence in Dentistry: A Narrative Review of Diagnostic and Therapeutic Applications.

Advancements in digital and precision medicine have fostered the rapid development of artificial int...

Use of Artificial Intelligence and Machine Learning in Critical Care Ultrasound.

This article explores the transformative potential of artificial intelligence (AI) in critical care ...

A novel intelligent grade classification architecture for Patent Foramen Ovale by Contrast Transthoracic Echocardiography based on deep learning.

Patent foramen ovale (PFO) is one of the main causes of ischemic stroke. Due to the complex characte...

Workload of diagnostic radiologists in the foreseeable future based on recent (2024) scientific advances: Updated growth expectations.

PURPOSE: To assess the expected impact of the 2024 medical imaging literature on the workload of dia...

Federated learning with integrated attention multiscale model for brain tumor segmentation.

Brain tumors are an extremely deadly condition and the growth of abnormal cells that have formed ins...

Prediction of Seronegative Hashimoto's thyroiditis using machine learning models based on ultrasound radiomics: a multicenter study.

BACKGROUND: Seronegative Hashimoto's thyroiditis is often underdiagnosed due to the lack of antibody...

Ensemble deep learning for Alzheimer's disease diagnosis using MRI: Integrating features from VGG16, MobileNet, and InceptionResNetV2 models.

Alzheimer's disease (AD) is a neurodegenerative disorder characterized by the accumulation of amyloi...

Development and Validation of an Algorithm for Segmentation of the Prostate and its Zones from Three-dimensional Transrectal Multiparametric Ultrasound Images.

BACKGROUND AND OBJECTIVE: Multiparametric ultrasound (mpUS) is being investigated as an alternative ...

Complex-valued neural networks to speed-up MR thermometry during hyperthermia using Fourier PD and PDUNet.

Hyperthermia (HT) in combination with radio- and/or chemotherapy has become an accepted cancer treat...

Using artificial intelligence system for assisting the classification of breast ultrasound glandular tissue components in dense breast tissue.

To investigate the potential of employing artificial intelligence (AI) -driven breast ultrasound ana...

Augmented intelligence in oral and maxillofacial radiology: a systematic review.

BACKGROUND: Artificial intelligence (AI) is transforming diagnostic imaging in dentistry. This syste...

Correction to "Machine Learning Model for Predicting Axillary Lymph Node Metastasis in Clinically Node Positive Breast Cancer Based on Peritumoral Ultrasound Radiomics and SHAP Feature Analysis".

Longitudinal study on the impact of short-term radiological interpretation training on resting-state brain network hubs.

Radiological expertise develops through extensive experience in specific imaging modalities. While p...

Unsupervised brain MRI tumour segmentation via two-stage image synthesis.

Deep learning shows promise in automated brain tumour segmentation, but it depends on costly expert ...

FreqYOLO: A uterine disease detection network based on local and global frequency feature learning.

Leiomyomas (LM) and adenomyosis (AM) are common gynecological diseases with high incidence rates and...

Coronary p-Graph: Automatic classification and localization of coronary artery stenosis from Cardiac CTA using DSA-based annotations.

Coronary artery disease (CAD) is a prevalent cardiovascular condition with profound health implicati...

Implementation of a national AI technology program on cardiovascular outcomes and the health system.

Coronary artery disease (CAD) is a major cause of ill health and death worldwide. Coronary computed ...

Robot-assisted ultrasound probe calibration for image-guided interventions.

BACKGROUND: Trackable ultrasound probes facilitate ultrasound-guided procedures, allowing real-time ...

MetaGP: A generative foundation model integrating electronic health records and multimodal imaging for addressing unmet clinical needs.

Artificial intelligence makes strides in specialized diagnostics but faces challenges in complex cli...