Radiology

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

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Application and optimization of the U-Net++ model for cerebral artery segmentation based on computed tomographic angiography images.

Accurate segmentation of cerebral arteries on computed tomography angiography (CTA) images is essent...

Biological age prediction in schizophrenia using brain MRI, gut microbiome and blood data.

The study of biological age prediction using various biological data has been widely explored. Howev...

Predictive modeling of response to repetitive transcranial magnetic stimulation in treatment-resistant depression.

Identifying predictors of treatment response to repetitive transcranial magnetic stimulation (rTMS) ...

The use of a convolutional neural network to automate radiologic scoring of computed tomography of paranasal sinuses.

BACKGROUND: Chronic rhinosinusitis (CRS) is diagnosed with symptoms and objective endoscopy or compu...

Fast and automatic coronary artery segmentation using nnU-Net for non-contrast enhanced magnetic resonance coronary angiography.

Non-contrast enhanced magnetic resonance coronary angiography (MRCA) is a promising coronary heart d...

A deep learning-based multimodal medical imaging model for breast cancer screening.

In existing breast cancer prediction research, most models rely solely on a single type of imaging d...

A non-invasive diagnostic approach for neuroblastoma utilizing preoperative enhanced computed tomography and deep learning techniques.

Neuroblastoma presents a wide variety of clinical phenotypes, demonstrating different levels of beni...

Performance of ChatGPT and Microsoft Copilot in Bing in answering obstetric ultrasound questions and analyzing obstetric ultrasound reports.

To evaluate and compare the performance of publicly available ChatGPT-3.5, ChatGPT-4.0 and Microsoft...

A systematic review of machine learning algorithms for breast cancer detection.

Breast cancer is one of the leading causes of death and morbidity among women worldwide. Identifying...

A multi-task neural network for full waveform ultrasonic bone imaging.

BACKGROUND AND OBJECTIVE: It is a challenging task to use ultrasound for bone imaging, as the bone t...

SensARy Substitution: Augmented Reality Techniques to Enhance Force Perception in Touchless Robot Control.

The lack of haptic feedback in touchless human-robot interaction is critical in applications such as...

Enhancing Patient Acceptance of Robotic Ultrasound through Conversational Virtual Agent and Immersive Visualizations.

Robotic ultrasound systems have the potential to improve medical diagnostics, but patient acceptance...

Intelligent Diagnosis of Cervical Lymph Node Metastasis Using a CNN Model.

Lymph node (LN) metastasis is a prevalent cause of recurrence in oral squamous cell carcinoma (OSCC)...

Breast tumour classification in DCE-MRI via cross-attention and discriminant correlation analysis enhanced feature fusion.

AIM: Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) has proven to be highly sensitiv...

A review of multimodal fusion-based deep learning for Alzheimer's disease.

Alzheimer's Disease (AD) as one of the most prevalent neurodegenerative disorders worldwide, charact...

perfDSA: Automatic Perfusion Imaging in Cerebral Digital Subtraction Angiography.

PURPOSE: Cerebral digital subtraction angiography (DSA) is a standard imaging technique in image-gui...

Optimising coronary imaging decisions with machine learning: an external validation study.

BACKGROUND: Exclusion of coronary stenosis in individuals with suggestive symptoms is challenging. C...

Variational mode directed deep learning framework for breast lesion classification using ultrasound imaging.

Breast cancer is the most prevalent cancer and the second cause of cancer related death among women ...

Pruning Sparse Tensor Neural Networks Enables Deep Learning for 3D Ultrasound Localization Microscopy.

Ultrasound Localization Microscopy (ULM) is a non-invasive technique that allows for the imaging of ...

Dynamic simulation of knee joint mechanics: individualized multi-moment finite element modelling of patellar tendon stress during landing.

Patellar tendinopathy is prevalent in sports requiring high jumping demands, and understanding the i...

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