AIMC Topic: Image Interpretation, Computer-Assisted

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Robotic tomographic ultrasound and artificial intelligence for management of haemodialysis arteriovenous fistulae.

The journal of vascular access Nov 23, 2023
BACKGROUND: Arteriovenous fistulae (AVF) and Arteriovenous Grafts (AVG) may present a problematic vascular access for renal replacement therapy (RRT), reliant on recurrent specialist nurse and medical evaluation. Dysfunctional accesses are frequently...
Treatment Outcome Graft Occlusion, Vascular Image Interpretation, Computer-Assisted Predictive Value of Tests Vascular Patency Ultrasonography, Doppler Robotics Software Design Blood Vessel Prosthesis Implantation Equipment Design Arteriovenous Shunt, Surgical Humans Artificial Intelligence Software Renal Dialysis
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Improvement of image quality in diffusion-weighted imaging with model-based deep learning reconstruction for evaluations of the head and neck.

Magma (New York, N.Y.) Nov 21, 2023
OBJECTIVES: To investigate the utility of deep learning (DL)-based image reconstruction using a model-based approach in head and neck diffusion-weighted imaging (DWI).
Image Processing, Computer-Assisted Head and Neck Neoplasms Neck Parotid Gland Humans Image Interpretation, Computer-Assisted Artifacts Head Diffusion Magnetic Resonance Imaging Signal-To-Noise Ratio Adult Male Middle Aged Retrospective Studies Deep Learning Female Aged Aged, 80 and over
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Artificial Intelligence in Skin Cancer Diagnosis: A Reality Check.

The Journal of investigative dermatology Nov 18, 2023
The field of skin cancer detection offers a compelling use case for the application of artificial intelligence (AI) within the realm of image-based diagnostic medicine. Through the analysis of large datasets, AI algorithms have the capacity to classi...
Skin Neoplasms Humans Skin Artificial Intelligence Image Interpretation, Computer-Assisted Algorithms
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Ultra-High-Resolution T2-Weighted PROPELLER MRI of the Rectum With Deep Learning Reconstruction: Assessment of Image Quality and Diagnostic Performance.

Investigative radiology Nov 17, 2023
OBJECTIVE: The aim of this study was to evaluate the impact of ultra-high-resolution acquisition and deep learning reconstruction (DLR) on the image quality and diagnostic performance of T2-weighted periodically rotated overlapping parallel lines wit...
Signal-To-Noise Ratio Neoplasm Staging Rectum Rectal Neoplasms Image Interpretation, Computer-Assisted Reproducibility of Results Aged Aged, 80 and over Adult Male Middle Aged Deep Learning Magnetic Resonance Imaging Humans Prospective Studies Female
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Differentiation Between Glioblastoma and Metastatic Disease on Conventional MRI Imaging Using 3D-Convolutional Neural Networks: Model Development and Validation.

Academic radiology Nov 17, 2023
RATIONALE AND OBJECTIVES: Imaging-based differentiation between glioblastoma (GB) and brain metastases (BM) remains challenging. Our aim was to evaluate the performance of 3D-convolutional neural networks (CNN) to address this binary classification p...
Image Interpretation, Computer-Assisted Imaging, Three-Dimensional Magnetic Resonance Imaging Diagnosis, Differential Glioblastoma Neural Networks, Computer Female Reproducibility of Results Humans Aged Adult Brain Neoplasms Male Middle Aged
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Deep Learning k-Space-to-Image Reconstruction Facilitates High Spatial Resolution and Scan Time Reduction in Diffusion-Weighted Imaging Breast MRI.

Journal of magnetic resonance imaging : JMRI Nov 16, 2023
BACKGROUND: For time-consuming diffusion-weighted imaging (DWI) of the breast, deep learning-based imaging acceleration appears particularly promising.
Humans Algorithms Retrospective Studies Breast Neoplasms Middle Aged Deep Learning Image Processing, Computer-Assisted Female Reproducibility of Results Aged Adult Breast Image Interpretation, Computer-Assisted Signal-To-Noise Ratio Diffusion Magnetic Resonance Imaging
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Editorial for "A Machine Learning-Based Unenhanced Radiomics Approach to Distinguishing Between Benign and Malignant Breast Lesions Using T2-Weighted and Diffusion-Weighted MRI".

Journal of magnetic resonance imaging : JMRI Nov 10, 2023
Radiomics Image Interpretation, Computer-Assisted Humans Machine Learning Diffusion Magnetic Resonance Imaging Magnetic Resonance Imaging Female Diagnosis, Differential Breast Neoplasms Breast
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Understanding the factors influencing acceptability of AI in medical imaging domains among healthcare professionals: A scoping review.

Artificial intelligence in medicine Nov 9, 2023
BACKGROUND: Artificial intelligence (AI) technology has the potential to transform medical practice within the medical imaging industry and materially improve productivity and patient outcomes. However, low acceptability of AI as a digital healthcare...
Humans Databases, Factual Artificial Intelligence Diagnostic Imaging Health Personnel Image Interpretation, Computer-Assisted MEDLINE
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A Machine Learning-Based Unenhanced Radiomics Approach to Distinguishing Between Benign and Malignant Breast Lesions Using T2-Weighted and Diffusion-Weighted MRI.

Journal of magnetic resonance imaging : JMRI Nov 7, 2023
BACKGROUND: Breast MRI has been recommended as supplemental screening tool to mammography and breast ultrasound of breast cancer by international guidelines, but its long examination time and use of contrast material remains concerning.
Aged Adult Breast Neoplasms Radiomics Prospective Studies Retrospective Studies Female Reproducibility of Results Area Under Curve Breast Image Interpretation, Computer-Assisted Diffusion Magnetic Resonance Imaging Middle Aged Contrast Media Humans Magnetic Resonance Imaging Machine Learning Diagnosis, Differential
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Deep Learning-Based Ensembling Technique to Classify Alzheimer's Disease Stages Using Functional MRI.

Journal of healthcare engineering Nov 3, 2023
The major issue faced by elderly people in society is the loss of memory, difficulty learning new things, and poor judgment. This is due to damage to brain tissues, which may lead to cognitive impairment and eventually Alzheimer's. Therefore, the det...
Neuroimaging Humans Aged Deep Learning Cognitive Dysfunction Magnetic Resonance Imaging Alzheimer Disease Image Interpretation, Computer-Assisted
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