AIMC Topic: Aged, 80 and over

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Utility of Thin-slice Fat-suppressed Single-shot T2-weighted MR Imaging with Deep Learning Image Reconstruction as a Protocol for Evaluating the Pancreas.

Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine Jul 21, 2024
PURPOSE: To compare the utility of thin-slice fat-suppressed single-shot T2-weighted imaging (T2WI) with deep learning image reconstruction (DLIR) and conventional fast spin-echo T2WI with DLIR for evaluating pancreatic protocol.
Aged Aged, 80 and over Male Middle Aged Deep Learning Humans Retrospective Studies Female Pancreatic Neoplasms Image Interpretation, Computer-Assisted Pancreas Signal-To-Noise Ratio Gadolinium DTPA Image Processing, Computer-Assisted Contrast Media Magnetic Resonance Imaging Adipose Tissue
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ICURE: Intensive care unit (ICU) risk evaluation for 30-day mortality. Developing and evaluating a multivariable machine learning prediction model for patients admitted to the general ICU in Sweden.

Acta anaesthesiologica Scandinavica Jul 21, 2024
BACKGROUND: A prediction model that estimates mortality at admission to the intensive care unit (ICU) is of potential benefit to both patients and society. Logistic regression models like Simplified Acute Physiology Score 3 (SAPS 3) and APACHE are th...
Adult Male Middle Aged Risk Assessment Logistic Models Humans Hospital Mortality Registries Female Machine Learning Simplified Acute Physiology Score Intensive Care Units Sweden Aged Aged, 80 and over
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Deep learning image reconstruction for low-kiloelectron volt virtual monoenergetic images in abdominal dual-energy CT: medium strength provides higher lesion conspicuity.

Acta radiologica (Stockholm, Sweden : 1987) Jul 21, 2024
BACKGROUND: The best settings of deep learning image reconstruction (DLIR) algorithm for abdominal low-kiloelectron volt (keV) virtual monoenergetic imaging (VMI) have not been determined.
Radiography, Abdominal Radiography, Dual-Energy Scanned Projection Deep Learning Image Processing, Computer-Assisted Radiographic Image Interpretation, Computer-Assisted Aged, 80 and over Signal-To-Noise Ratio Adult Male Algorithms Middle Aged Retrospective Studies Humans Tomography, X-Ray Computed Female Aged
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Retrospective analysis of interpretable machine learning in predicting ICU thrombocytopenia in geriatric ICU patients.

Scientific reports Jul 20, 2024
We developed an interpretable machine learning algorithm that prospectively predicts the risk of thrombocytopenia in older critically ill patients during their stay in the intensive care unit (ICU), ultimately aiding clinical decision-making and impr...
Humans Machine Learning Algorithms Retrospective Studies Critical Illness Intensive Care Units Clinical Decision-Making Female ROC Curve Aged Aged, 80 and over Male Thrombocytopenia
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Machine Learning for Movement Pattern Changes during Kinect-Based Mixed Reality Exercise Programs in Women with Possible Sarcopenia: Pilot Study.

Annals of geriatric medicine and research Jul 18, 2024
BACKGROUND: Sarcopenia is a muscle-wasting condition that affects older individuals. It can lead to changes in movement patterns, which can increase the risk of falls and other injuries.
Muscle Strength Exercise Therapy Movement Aged, 80 and over Biomechanical Phenomena Pilot Projects Sarcopenia Humans Machine Learning Female Aged
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Prediction of prognosis in lung cancer using machine learning with inter-institutional generalizability: A multicenter cohort study (WJOG15121L: REAL-WIND).

Lung cancer (Amsterdam, Netherlands) Jul 18, 2024
OBJECTIVES: Predicting the prognosis of lung cancer is crucial for providing optimal medical care. However, a method to accurately predict the overall prognosis in patients with stage IV lung cancer, even with the use of machine learning, has not bee...
Male Retrospective Studies Lung Neoplasms Middle Aged Female Humans Cohort Studies Neoplasm Staging Aged Machine Learning ROC Curve Aged, 80 and over Algorithms Prognosis
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A Multimorbidity Analysis of Hospitalized Patients With COVID-19 in Northwest Italy: Longitudinal Study Using Evolutionary Machine Learning and Health Administrative Data.

JMIR public health and surveillance Jul 18, 2024
BACKGROUND: Multimorbidity is a significant public health concern, characterized by the coexistence and interaction of multiple preexisting medical conditions. This complex condition has been associated with an increased risk of COVID-19. Individuals...
Female Hospitalization Aged Aged, 80 and over Male Middle Aged Longitudinal Studies Italy Multimorbidity Humans Machine Learning COVID-19
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Diagnostic Accuracy of Ultra-Low Dose CT Compared to Standard Dose CT for Identification of Fresh Rib Fractures by Deep Learning Algorithm.

Journal of imaging informatics in medicine Jul 17, 2024
The present study aimed to evaluate the diagnostic accuracy of ultra-low dose computed tomography (ULD-CT) compared to standard dose computed tomography (SD-CT) in discerning recent rib fractures using a deep learning algorithm detection of rib fract...
Male Middle Aged Deep Learning Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Aged Aged, 80 and over Adult Sensitivity and Specificity Humans Algorithms Rib Fractures Retrospective Studies Tomography, X-Ray Computed Female
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Prospective and multi-reader evaluation of deep learning reconstruction-based accelerated rectal MRI: image quality, diagnostic performance, and reading time.

European radiology Jul 17, 2024
OBJECTIVES: To evaluate deep learning reconstruction (DLR)-based accelerated rectal magnetic resonance imaging (MRI) compared with standard MRI.
Aged, 80 and over Adult Male Middle Aged Deep Learning Humans Prospective Studies Female Aged Rectal Neoplasms Adenocarcinoma Image Interpretation, Computer-Assisted Magnetic Resonance Imaging Neoplasm Staging Rectum
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3D U-Net Neural Network Architecture-Assisted LDCT to Acquire Vertebral Morphology Parameters: A Vertebral Morphology Comprehensive Analysis in a Chinese Population.

Calcified tissue international Jul 17, 2024
To evaluate the feasibility of acquiring vertebral height from chest low-dose computed tomography (LDCT) images using an artificial intelligence (AI) system based on 3D U-Net vertebral segmentation technology and the correlation and features of verte...
Spine Female Aged Humans Aged, 80 and over Male Neural Networks, Computer Adult Middle Aged Tomography, X-Ray Computed China Imaging, Three-Dimensional East Asian People
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