Radiology

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

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Showing 11509-11529 of 14,698 articles
Learning a Clinically-Relevant Concept Bottleneck for Lesion Detection in Breast Ultrasound

Detecting and classifying lesions in breast ultrasound images is a promising application of artifi...

[Research of electrical impedance tomography based on multilayer artificial neural network optimized by Hadamard product for human-chest models].

Electrical impedance tomography (EIT) is a non-radiation, non-invasive visual diagnostic technique. ...

Jun 2024 38932528
[An ensemble model for assisting early Alzheimer's disease diagnosis based on structural magnetic resonance imaging with dual-time-point fusion].

Alzheimer's Disease (AD) is a progressive neurodegenerative disorder. Due to the subtlety of symptom...

Jun 2024 38932534
Cardiac Copilot: Automatic Probe Guidance for Echocardiography with World Model

Echocardiography is the only technique capable of real-time imaging of the heart and is vital for ...

Probabilistic Temporal Prediction of Continuous Disease Trajectories and Treatment Effects Using Neural SDEs

Personalized medicine based on medical images, including predicting future individualized clinical...

Transforming Surgical Interventions with Embodied Intelligence for Ultrasound Robotics

Ultrasonography has revolutionized non-invasive diagnostic methodologies, significantly enhancing ...

Location-based Radiology Report-Guided Semi-supervised Learning for Prostate Cancer Detection

Prostate cancer is one of the most prevalent malignancies in the world. While deep learning has po...

Improved stent sharpness evaluation with super-resolution deep learning reconstruction in coronary CT angiography.

OBJECTIVES: This study aimed to assess the impact of super-resolution deep learning reconstruction (...

Jun 2024 38733576
BrainSegFounder: Towards 3D Foundation Models for Neuroimage Segmentation

The burgeoning field of brain health research increasingly leverages artificial intelligence (AI) ...

Performance evaluation of ML models for preoperative prediction of HER2-low BC based on CE-CBBCT radiomic features: A prospective study.

To explore the value of machine learning (ML) models based on contrast-enhanced cone-beam breast com...

Jun 2024 38875420
Design of a High-Performance Tomographic Tactile Sensor by Manipulating the Detector Conductivity

Recent advancements in soft robots, human-machine interfaces, and wearable electronics have led to...

Familiarity, confidence and preference of artificial intelligence feedback and prompts by Australian breast cancer screening readers.

Objectives This study explored the familiarity, perceptions and confidence of Australian radiology c...

Jun 2024 38692648
Deformation-encoding Deep Learning Transformer for High-Frame-Rate Cardiac Cine MRI.

Purpose To develop a deep learning model for increasing cardiac cine frame rate while maintaining sp...

Jun 2024 38722232
Hybrid machine learning-based breast cancer segmentation framework using ultrasound images with optimal weighted features.

One of the most dangerous conditions in clinical practice is breast cancer because it affects the en...

Jun 2024 38783623
Disease-driven domain generalization for neuroimaging-based assessment of Alzheimer's disease.

Development of deep learning models to evaluate structural brain changes caused by cognitive impairm...

Jun 2024 38798082
Prognostication of Hepatocellular Carcinoma Using Artificial Intelligence.

Hepatocellular carcinoma (HCC) is a biologically heterogeneous tumor characterized by varying degree...

Jun 2024 38807336
Early Indicators of the Impact of Using AI in Mammography Screening for Breast Cancer.

Background Retrospective studies have suggested that using artificial intelligence (AI) may decrease...

Jun 2024 38832880
Assistive tools for classifying neurological disorders using fMRI and deep learning: A guide and example.

BACKGROUND: Deep-learning (DL) methods are rapidly changing the way researchers classify neurologica...

Jun 2024 38841732
AmyloidPETNet: Classification of Amyloid Positivity in Brain PET Imaging Using End-to-End Deep Learning.

Background Visual assessment of amyloid PET scans relies on the availability of radiologist expertis...

Jun 2024 38860897
Integrating and Adopting AI in the Radiology Workflow: A Primer for Standards and Integrating the Healthcare Enterprise (IHE) Profiles.

The deployment of artificial intelligence (AI) solutions in radiology practice creates new demands o...

Jun 2024 38888474
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