AIMC Topic: Aged

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Quality assessment of expedited AI generated reformatted images for ED acquired CT abdomen and pelvis imaging.

Abdominal radiology (New York) Sep 18, 2024
PURPOSE: Retrospectively compare image quality, radiologist diagnostic confidence, and time for images to reach PACS for contrast enhanced abdominopelvic CT examinations created on the scanner console by technologists versus those generated automatic...
Tomography, X-Ray Computed Female Aged Adult Humans Artificial Intelligence Retrospective Studies Pelvis Radiographic Image Interpretation, Computer-Assisted Quality Assurance, Health Care Radiology Information Systems Radiography, Abdominal Male Middle Aged Contrast Media Emergency Service, Hospital
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Effect of a novel artificial intelligence-based cecum recognition system on adenoma detection metrics in a screening colonoscopy setting.

Gastrointestinal endoscopy Sep 18, 2024
BACKGROUND AND AIMS: Cecal intubation in colonoscopy relies on self-reporting. We developed an artificial intelligence-based cecum recognition system (AI-CRS) for post-hoc verification of cecal intubation and explored its impact on adenoma metrics.
Humans Artificial Intelligence Female Aged Early Detection of Cancer Adenoma Cecum Colorectal Neoplasms Male Middle Aged Colonoscopy
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Deep Learning Model of Diastolic Dysfunction Risk Stratifies the Progression of Early-Stage Aortic Stenosis.

JACC. Cardiovascular imaging Sep 18, 2024
BACKGROUND: The development and progression of aortic stenosis (AS) from aortic valve (AV) sclerosis is highly variable and difficult to predict.
Predictive Value of Tests Ventricular Dysfunction, Left Diastole Sclerosis United States Calcinosis Aortic Valve Stenosis Aortic Valve Disease Progression Severity of Illness Index Deep Learning Humans Male Time Factors Ventricular Function, Left Prognosis Echocardiography Middle Aged Risk Assessment Female Reproducibility of Results Risk Factors Aged
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Deep Learning-Based Denoising Enables High-Quality, Fully Diagnostic Neuroradiological Trauma CT at 25% Radiation Dose.

Academic radiology Sep 18, 2024
RATIONALE AND OBJECTIVES: Traumatic neuroradiological emergencies necessitate rapid and accurate diagnosis, often relying on computed tomography (CT). However, the associated ionizing radiation poses long-term risks. Modern artificial intelligence re...
Humans Algorithms Retrospective Studies Tomography, X-Ray Computed Female Aged Middle Aged Adult Deep Learning Sensitivity and Specificity Radiographic Image Interpretation, Computer-Assisted Male Radiation Dosage
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Two-step deep-learning identification of heel keypoints from video-recorded gait.

Medical & biological engineering & computing Sep 18, 2024
Accurate and fast extraction of step parameters from video recordings of gait allows for richer information to be obtained from clinical tests such as Timed Up and Go. Current deep-learning methods are promising, but lack in accuracy for many clinica...
Heel Humans Neural Networks, Computer Female Aged Image Processing, Computer-Assisted Male Gait Deep Learning Video Recording
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Non-traumatic brachial plexopathy identification from routine MRIs: Retrospective studies with deep learning networks.

European journal of radiology Sep 18, 2024
PURPOSE: This study aims to seek an optimized deep learning model for differentiating non-traumatic brachial plexopathy from routine MRI scans.
Magnetic Resonance Imaging Diagnosis, Differential Brachial Plexus Neuropathies Humans Retrospective Studies Adult Female Male Aged Middle Aged Deep Learning
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Predicting prolonged length of stay following revision total knee arthroplasty: A national database analysis using machine learning models.

International journal of medical informatics Sep 18, 2024
BACKGROUND: As the number of revision total knee arthroplasty (TKA) continues to rise, close attention has been paid to factors influencing postoperative length of stay (LOS). The aim of this study is to develop generalizable machine learning (ML) al...
Arthroplasty, Replacement, Knee Humans Reoperation Machine Learning Algorithms Aged Databases, Factual Male Female Middle Aged Length of Stay
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DentAge: Deep learning for automated age prediction using panoramic dental X-ray images.

Journal of forensic sciences Sep 18, 2024
Age estimation plays a crucial role in various fields, including forensic science and anthropology. This study aims to develop and validate DentAge, a deep-learning model for automated age prediction using panoramic dental X-ray images. DentAge was t...
Deep Learning Adolescent Child, Preschool Child Young Adult Adult Male Middle Aged Radiography, Panoramic Forensic Dentistry Datasets as Topic Age Determination by Teeth Humans Female Aged Aged, 80 and over
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Instrumented timed up and go test and machine learning-based levodopa response evaluation: a pilot study.

Journal of neuroengineering and rehabilitation Sep 18, 2024
BACKGROUND: The acute levodopa challenge test (ALCT) is a universal method for evaluating levodopa response (LR). Assessment of Movement Disorder Society's Unified Parkinson's Disease Rating Scale part III (MDS-UPDRS III) is a key step in ALCT, which...
Machine Learning Female Aged Male Parkinson Disease Antiparkinson Agents Humans Levodopa Middle Aged Pilot Projects
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Development and validation of a machine learning-based framework for assessing metabolic-associated fatty liver disease risk.

BMC public health Sep 18, 2024
BACKGROUND: The existing predictive models for metabolic-associated fatty liver disease (MAFLD) possess certain limitations that render them unsuitable for extensive population-wide screening. This study is founded upon population health examination ...
Middle Aged Risk Assessment China Non-alcoholic Fatty Liver Disease Risk Factors Aged Adult Male Humans Machine Learning Algorithms Female
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