AI Medical Compendium Topic:
Aged, 80 and over

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Automated Detection of Cerebral Microbleeds on Two-dimensional Gradient-recalled Echo T2* Weighted Images Using a Morphology Filter Bank and Convolutional Neural Network.

Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine Mar 15, 2024
PURPOSE: We present a novel algorithm for the automated detection of cerebral microbleeds (CMBs) on 2D gradient-recalled echo T2* weighted images (T2*WIs). This approach combines a morphology filter bank with a convolutional neural network (CNN) to i...
Middle Aged Convolutional Neural Networks Image Processing, Computer-Assisted Magnetic Resonance Imaging Retrospective Studies Humans Cerebral Hemorrhage Female Neural Networks, Computer Aged Image Interpretation, Computer-Assisted Algorithms Aged, 80 and over Brain Male
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Improved overall image quality in low-dose dual-energy computed tomography enterography using deep-learning image reconstruction.

Abdominal radiology (New York) Mar 14, 2024
OBJECTIVE: To demonstrate the clinical advantages of a deep-learning image reconstruction (DLIR) in low-dose dual-energy computed tomography enterography (DECTE) by comparing images with standard-dose adaptive iterative reconstruction-Veo (ASIR-V) im...
Humans Male Radiography, Dual-Energy Scanned Projection Female Prospective Studies Middle Aged Aged Tomography, X-Ray Computed Aged, 80 and over Deep Learning Adult Radiographic Image Interpretation, Computer-Assisted Radiation Dosage
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Automatic and robust estimation of sex and chronological age from panoramic radiographs using a multi-task deep learning network: a study on a South Korean population.

International journal of legal medicine Mar 12, 2024
Sex and chronological age estimation are crucial in forensic investigations and research on individual identification. Although manual methods for sex and age estimation have been proposed, these processes are labor-intensive, time-consuming, and err...
Adult Male Middle Aged Deep Learning Republic of Korea Adolescent Female Radiography, Panoramic Aged Humans Sex Determination by Skeleton Aged, 80 and over Age Determination by Teeth Young Adult
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Detection of urinary tract stones on submillisievert abdominopelvic CT imaging with deep-learning image reconstruction algorithm (DLIR).

Abdominal radiology (New York) Mar 12, 2024
PURPOSE: Urolithiasis is a chronic condition that leads to repeated CT scans throughout the patient's life. The goal was to assess the diagnostic performance and image quality of submillisievert abdominopelvic computed tomography (CT) using deep lear...
Female Aged Aged, 80 and over Adult Sensitivity and Specificity Male Middle Aged Deep Learning Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Humans Algorithms Retrospective Studies Tomography, X-Ray Computed Radiography, Abdominal Urolithiasis Urinary Calculi
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Deep Learning Image Reconstruction for Transcatheter Aortic Valve Implantation Planning: Image Quality, Diagnostic Performance, Contrast volume and Radiation Dose Assessment.

Academic radiology Mar 11, 2024
RATIONALE AND OBJECTIVES: To assess image quality, contrast volume and radiation dose reduction potential and diagnostic performance with the use of high-strength deep learning image reconstruction (DLIR-H) in transcatheter aortic valve implantation ...
Aged Aged, 80 and over Transcatheter Aortic Valve Replacement Humans Male Prospective Studies Deep Learning Tomography, X-Ray Computed Aortic Valve Stenosis Contrast Media Female Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Radiation Dosage
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[Reduction of Motion Artifacts in Liver MRI Using Deep Learning with High-pass Filtering].

Nihon Hoshasen Gijutsu Gakkai zasshi Mar 11, 2024
PURPOSE: To investigate whether deep learning with high-pass filtering can be used to effectively reduce motion artifacts in magnetic resonance (MR) images of the liver.
Motion Artifacts Middle Aged Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Liver Aged Aged, 80 and over Adult Male Humans Female
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Diagnostic performance of deep learning to exclude coronary stenosis on CT angiography in TAVI patients.

The international journal of cardiovascular imaging Mar 10, 2024
We evaluated the diagnostic performance of a deep-learning model (DLM) (CorEx®, Spimed-AI, Paris, France) designed to automatically detect > 50% coronary stenosis on coronary computed tomography angiography (CCTA) images. We studied inter-observer va...
Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Observer Variation Coronary Vessels False Positive Reactions Deep Learning Aortic Valve Stenosis Aortic Valve Predictive Value of Tests Multidetector Computed Tomography Computed Tomography Angiography Coronary Stenosis Transcatheter Aortic Valve Replacement Humans Retrospective Studies Female Reproducibility of Results Aged Aged, 80 and over Male Severity of Illness Index
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MRI-Based Machine Learning Radiomics for Preoperative Assessment of Human Epidermal Growth Factor Receptor 2 Status in Urothelial Bladder Carcinoma.

Journal of magnetic resonance imaging : JMRI Mar 8, 2024
BACKGROUND: The human epidermal growth factor receptor 2 (HER2) has recently emerged as hotspot in targeted therapy for urothelial bladder cancer (UBC). The HER2 status is mainly identified by immunohistochemistry (IHC), preoperative and noninvasive ...
Receptor, ErbB-2 ROC Curve Image Processing, Computer-Assisted Magnetic Resonance Imaging Urinary Bladder Neoplasms Humans Machine Learning Algorithms Aged Retrospective Studies Aged, 80 and over Female Radiomics Male Middle Aged
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Artificial intelligence-based, volumetric assessment of the bone marrow metabolic activity in [F]FDG PET/CT predicts survival in multiple myeloma.

European journal of nuclear medicine and molecular imaging Mar 8, 2024
PURPOSE: Multiple myeloma (MM) is a highly heterogeneous disease with wide variations in patient outcome. [F]FDG PET/CT can provide prognostic information in MM, but it is hampered by issues regarding standardization of scan interpretation. Our group...
Artificial Intelligence Prognosis Female Aged Aged, 80 and over Humans Positron Emission Tomography Computed Tomography Adult Bone Marrow Male Survival Analysis Middle Aged Multiple Myeloma Image Processing, Computer-Assisted Fluorodeoxyglucose F18
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Perspective analysis of assistive robots for elderly in India.

Disability and rehabilitation. Assistive technology Mar 7, 2024
PURPOSE: Assistive technology for elderly are advancing, and this study aimed to analyse the Indian perspective on utilising assistive robot technology for aiding elderly individuals.
Humans Health Personnel Female Aged India Age Factors Robotics Family Self-Help Devices Aged, 80 and over Adult Male Middle Aged Surveys and Questionnaires
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