AIMC Topic: Aged, 80 and over
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CT-derived pectoralis composition and incident pneumonia hospitalization using fully automated deep-learning algorithm: multi-ethnic study of atherosclerosis.
European radiology
Nov 11, 2023
BACKGROUND: Pneumonia-related hospitalization may be associated with advanced skeletal muscle loss due to aging (i.e., sarcopenia) or chronic illnesses (i.e., cachexia). Early detection of muscle loss may now be feasible using deep-learning algorithm...
Prediction of cerebral hemorrhagic transformation after thrombectomy using a deep learning of dual-energy CT.
European radiology
Nov 11, 2023
OBJECTIVES: To develop and validate a deep learning model for predicting hemorrhagic transformation after endovascular thrombectomy using dual-energy computed tomography (CT).
Echocardiography-Based Deep Learning Model to Differentiate Constrictive Pericarditis and Restrictive Cardiomyopathy.
JACC. Cardiovascular imaging
Nov 8, 2023
BACKGROUND: Constrictive pericarditis (CP) is an uncommon but reversible cause of diastolic heart failure if appropriately identified and treated. However, its diagnosis remains a challenge for clinicians. Artificial intelligence may enhance the iden...
Deep learning-based age estimation from clinical Computed Tomography image data of the thorax and abdomen in the adult population.
PloS one
Nov 7, 2023
Aging is an important risk factor for disease, leading to morphological change that can be assessed on Computed Tomography (CT) scans. We propose a deep learning model for automated age estimation based on CT- scans of the thorax and abdomen generate...
Algorithmic Fairness of Machine Learning Models for Alzheimer Disease Progression.
JAMA network open
Nov 1, 2023
IMPORTANCE: Predictive models using machine learning techniques have potential to improve early detection and management of Alzheimer disease (AD). However, these models potentially have biases and may perpetuate or exacerbate existing disparities.
MultiCOVID: a multi modal deep learning approach for COVID-19 diagnosis.
Scientific reports
Oct 31, 2023
The rapid spread of the severe acute respiratory syndrome coronavirus 2 led to a global overextension of healthcare. Both Chest X-rays (CXR) and blood test have been demonstrated to have predictive value on Coronavirus Disease 2019 (COVID-19) diagnos...
Artificial Intelligence-Assisted Sac Diameter Assessment for Complex Endovascular Aortic Repair.
Journal of endovascular therapy : an official journal of the International Society of Endovascular Specialists
Oct 30, 2023
PURPOSE: Artificial intelligence (AI) using an automated, deep learning-based method, Augmented Radiology for Vascular Aneurysm (ARVA), has been verified as a viable aide in aneurysm morphology assessment. The aim of this study was to evaluate the ac...
Male
Middle Aged
Deep Learning
Treatment Outcome
Predictive Value of Tests
Female
Reproducibility of Results
Aged
Humans
Aged, 80 and over
Retrospective Studies
Endovascular Procedures
Aortic Aneurysm, Abdominal
Computed Tomography Angiography
Radiographic Image Interpretation, Computer-Assisted
Aortic Aneurysm
Stents
Aortography
Blood Vessel Prosthesis Implantation
Endovascular Aneurysm Repair
Reducing false positives in deep learning-based brain metastasis detection by using both gradient-echo and spin-echo contrast-enhanced MRI: validation in a multi-center diagnostic cohort.
European radiology
Oct 28, 2023
OBJECTIVES: To develop a deep learning (DL) for detection of brain metastasis (BM) that incorporates both gradient- and turbo spin-echo contrast-enhanced MRI (dual-enhanced DL) and evaluate it in a clinical cohort in comparison with human readers and...
Magnetic Resonance Deep Learning Radiomic Model Based on Distinct Metastatic Vascular Patterns for Evaluating Recurrence-Free Survival in Hepatocellular Carcinoma.
Journal of magnetic resonance imaging : JMRI
Oct 27, 2023
BACKGROUND: The metastatic vascular patterns of hepatocellular carcinoma (HCC) are mainly microvascular invasion (MVI) and vessels encapsulating tumor clusters (VETC). However, most existing VETC-related radiological studies still focus on the predic...
Deep learning-based sleep stage classification with cardiorespiratory and body movement activities in individuals with suspected sleep disorders.
Scientific reports
Oct 18, 2023
Deep learning methods have gained significant attention in sleep science. This study aimed to assess the performance of a deep learning-based sleep stage classification model constructed using fewer physiological parameters derived from cardiorespira...
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