Radiology

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

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Deep learning for segmentation of colorectal carcinomas on endoscopic ultrasound.

BACKGROUND: Bowel-preserving local resection of early rectal cancer is less successful if the tumor ...

Predicting axillary lymph node metastasis in breast cancer using a multimodal radiomics and deep learning model.

OBJECTIVE: To explore the value of combined radiomics and deep learning models using different machi...

Assessment of body composition and prediction of infectious pancreatic necrosis via non-contrast CT radiomics and deep learning.

AIM: The current study aims to delineate subcutaneous adipose tissue (SAT), visceral adipose tissue ...

A machine learning approach for identifying anatomical biomarkers of early mild cognitive impairment.

BACKGROUND: Alzheimer's Disease (AD) poses a major challenge as a neurodegenerative disorder, and ea...

Artificial intelligence improves mammography-based breast cancer risk prediction.

Artificial intelligence (AI) is enabling us to delve deeply into the information inherent in a mammo...

WFUMB Commentary Paper on Artificial intelligence in Medical Ultrasound Imaging.

Artificial intelligence (AI) is defined as the theory and development of computer systems able to pe...

ItpCtrl-AI: End-to-end interpretable and controllable artificial intelligence by modeling radiologists' intentions.

Using Deep Learning in computer-aided diagnosis systems has been of great interest due to its impres...

Unsupervised reconstruction of accelerated cardiac cine MRI using neural fields.

BACKGROUND: Cardiac cine MRI is the gold standard for cardiac functional assessment, but the inheren...

Assessment of the stability of intracranial aneurysms using a deep learning model based on computed tomography angiography.

PURPOSE: Assessment of the stability of intracranial aneurysms is important in the clinic but remain...

Artificial Intelligence-Assisted Segmentation of a Falx Cerebri Calcification on Cone-Beam Computed Tomography: A Case Report.

Intracranial calcifications, particularly within the falx cerebri, serve as crucial diagnostic marke...

CNN-Based Cross-Modality Fusion for Enhanced Breast Cancer Detection Using Mammography and Ultrasound.

Breast cancer is a leading cause of mortality among women in Taiwan and globally. Non-invasive imag...

Identification of patients with unstable angina based on coronary CT angiography: the application of pericoronary adipose tissue radiomics.

OBJECTIVE: To explore whether radiomics analysis of pericoronary adipose tissue (PCAT) captured by c...

Early detection of Alzheimer's disease in structural and functional MRI.

OBJECTIVES: To implement state-of-the-art deep learning architectures such as Deep-Residual-U-Net an...

Deep Learning for Detecting and Subtyping Renal Cell Carcinoma on Contrast-Enhanced CT Scans Using 2D Neural Network with Feature Consistency Techniques.

 The aim of this study was to explore an innovative approach for developing deep learning (DL) algo...

Self-improving generative foundation model for synthetic medical image generation and clinical applications.

In many clinical and research settings, the scarcity of high-quality medical imaging datasets has ha...

Performance of automated machine learning in detecting fundus diseases based on ophthalmologic B-scan ultrasound images.

AIM: To evaluate the efficacy of automated machine learning (AutoML) models in detecting fundus dise...

Imaging-guided bioresorbable acoustic hydrogel microrobots.

Micro- and nanorobots excel in navigating the intricate and often inaccessible areas of the human bo...

Assessing Large Language Models for Oncology Data Inference From Radiology Reports.

PURPOSE: We examined the effectiveness of proprietary and open large language models (LLMs) in detec...

BUSClean: Open-source software for breast ultrasound image pre-processing and knowledge extraction for medical AI.

Development of artificial intelligence (AI) for medical imaging demands curation and cleaning of lar...

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