Radiology

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

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Implementing a deep learning model for automatic tongue tumour segmentation in ex-vivo 3-dimensional ultrasound volumes.

Three-dimensional (3D) ultrasound can assess the margins of resected tongue carcinoma during surgery...

TSCA-Net: Transformer based spatial-channel attention segmentation network for medical images.

Deep learning architectures based on convolutional neural network (CNN) and Transformer have achieve...

MRI radiomics-based decision support tool for a personalized classification of cervical disc degeneration: a two-center study.

To develop and validate an MRI radiomics-based decision support tool for the automated grading of c...

Cystic renal mass screening: machine-learning-based radiomics on unenhanced computed tomography.

PURPOSE: The present study compares the diagnostic performance of unenhanced computed tomography (CT...

A deep learning model integrating multisequence MRI to predict EGFR mutation subtype in brain metastases from non-small cell lung cancer.

BACKGROUND: To establish a predictive model based on multisequence magnetic resonance imaging (MRI) ...

Multi-pose-based convolutional neural network model for diagnosis of patients with central lumbar spinal stenosis.

Although the role of plain radiographs in diagnosing lumbar spinal stenosis (LSS) has declined in im...

Application of an artificial intelligence-based system in the diagnosis of breast ultrasound images obtained using a smartphone.

BACKGROUND: Breast ultrasound (US) is useful for dense breasts, and the introduction of artificial i...

A validation of an entropy-based artificial intelligence for ultrasound data in breast tumors.

BACKGROUND: The application of artificial intelligence (AI) in the ultrasound (US) diagnosis of brea...

Artificial Intelligence for PET and SPECT Image Enhancement.

Nuclear medicine imaging modalities such as PET and SPECT are confounded by high noise levels and lo...

Deep Generalized Learning Model for PET Image Reconstruction.

Low-count positron emission tomography (PET) imaging is challenging because of the ill-posedness of ...

Robust Vascular Segmentation for Raw Complex Images of Laser Speckle Contrast Based on Weakly Supervised Learning.

Laser speckle contrast imaging (LSCI) is widely used for in vivo real-time detection and analysis of...

Deep learning for automatic organ and tumor segmentation in nanomedicine pharmacokinetics.

: Multimodal imaging provides important pharmacokinetic and dosimetry information during nanomedicin...

Deep learning to overcome Zernike phase-contrast nanoCT artifacts for automated micro-nano porosity segmentation in bone.

Bone material contains a hierarchical network of micro- and nano-cavities and channels, known as the...

High Throughput Tomography (HiTT) on EMBL beamline P14 on PETRA III.

Here, high-throughput tomography (HiTT), a fast and versatile phase-contrast imaging platform for li...

Five dominant dimensions of brain aging are identified via deep learning: associations with clinical, lifestyle, and genetic measures.

Brain aging is a complex process influenced by various lifestyle, environmental, and genetic factors...

Could ChatGPT Pass the UK Radiology Fellowship Examinations?

RATIONALE AND OBJECTIVES: Chat Generative Pre-trained Transformer (ChatGPT) is an artificial intelli...

Assessing the Capability of ChatGPT, Google Bard, and Microsoft Bing in Solving Radiology Case Vignettes.

 The field of radiology relies on accurate interpretation of medical images for effective diagnosis...

Stepped-Tube Backside Cavity Piezoelectric Ultrasound Transducer Based on ScAIN Thin Films.

This paper presents a novel piezoelectric micromachined ultrasonic transducer (PMUT) with theoretica...

Contrast-Induced Nephropathy in Interventional Cardiology: Incidence, Risk Factors, and Identification of High-Risk Patients.

AIM: This study aimed to study contrast-induced nephropathy (CIN) or more recent nomenclature contra...

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