AIMC Topic: Aged, 80 and over
Clear Filters Showing 801 to 810 of 3432 articles
Objective Falls Risk Assessment Using Markerless Motion Capture and Representational Machine Learning.
Sensors (Basel, Switzerland)
Jul 16, 2024
Falls are a major issue for those over the age of 65 years worldwide. Objective assessment of fall risk is rare in clinical practice. The most common methods of assessment are time-consuming observational tests (clinical tests). Computer-aided diagno...
Prediction of hematoma expansion in spontaneous intracerebral hemorrhage using a multimodal neural network.
Scientific reports
Jul 16, 2024
Hematoma expansion occasionally occurs in patients with intracerebral hemorrhage (ICH), associating with poor outcome. Multimodal neural networks incorporating convolutional neural network (CNN) analysis of images and neural network analysis of tabul...
Construction of a clinical prediction model for complicated appendicitis based on machine learning techniques.
Scientific reports
Jul 16, 2024
Acute appendicitis is a typical surgical emergency worldwide and one of the common causes of surgical acute abdomen in the elderly. Accurately diagnosing and differentiating acute appendicitis can assist clinicians in formulating a scientific and rea...
At-admission prediction of mortality and pulmonary embolism in an international cohort of hospitalised patients with COVID-19 using statistical and machine learning methods.
Scientific reports
Jul 16, 2024
By September 2022, more than 600 million cases of SARS-CoV-2 infection have been reported globally, resulting in over 6.5 million deaths. COVID-19 mortality risk estimators are often, however, developed with small unrepresentative samples and with me...
Examining individual and contextual predictors of disability in Chinese older adults: A machine learning approach.
International journal of medical informatics
Jul 15, 2024
BACKGROUND: There is a large gap of understanding the determinants of disability, especially the contextual characteristics. Therefore, this study aimed to examine the important predictors of disability in Chinese older adults based on the social eco...
Combined deep learning and radiomics in pretreatment radiation esophagitis prediction for patients with esophageal cancer underwent volumetric modulated arc therapy.
Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
Jul 14, 2024
PURPOSE: To develop a combined radiomics and deep learning (DL) model in predicting radiation esophagitis (RE) of a grade ≥ 2 for patients with esophageal cancer (EC) underwent volumetric modulated arc therapy (VMAT) based on computed tomography (CT)...
Disentangling brain atrophy heterogeneity in Alzheimer's disease: A deep self-supervised approach with interpretable latent space.
NeuroImage
Jul 14, 2024
Alzheimer's disease (AD) is heterogeneous, but existing methods for capturing this heterogeneity through dimensionality reduction and unsupervised clustering have limitations when it comes to extracting intricate atrophy patterns. In this study, we p...
State-of-the-art sleep arousal detection evaluated on a comprehensive clinical dataset.
Scientific reports
Jul 14, 2024
Aiming to apply automatic arousal detection to support sleep laboratories, we evaluated an optimized, state-of-the-art approach using data from daily work in our university hospital sleep laboratory. Therefore, a machine learning algorithm was traine...
Establishment of a corneal ulcer prognostic model based on machine learning.
Scientific reports
Jul 12, 2024
Corneal infection is a major public health concern worldwide and the most common cause of unilateral corneal blindness. Toxic effects of different microorganisms, such as bacteria and fungi, worsen keratitis leading to corneal perforation even with o...
A cutting-edge deep learning-and-radiomics-based ultrasound nomogram for precise prediction of axillary lymph node metastasis in breast cancer patients ≥ 75 years.
Frontiers in endocrinology
Jul 12, 2024
OBJECTIVE: The objective of this study was to develop a deep learning-and-radiomics-based ultrasound nomogram for the evaluation of axillary lymph node (ALN) metastasis risk in breast cancer patients ≥ 75 years.
Stay Ahead of Medical AI
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 32091
- Neural Networks, Computer 30255
- Algorithms 27448
- Deep Learning 26951
- Artificial Intelligence 24880
- Robotics 13397
- Image Processing, Computer-Assisted 9750
- Retrospective Studies 9368
- Magnetic Resonance Imaging 6357
- Reproducibility of Results 5674
- Tomography, X-Ray Computed 4872
- Support Vector Machine 4776
- Computational Biology 4347
- Brain 4135
- Computer Simulation 3937
Recent Journals
- Scientific reports 6908
- Sensors (Basel, Switzerland) 4794
- PloS one 4228
- Neural networks : the official journal of the International Neural Network Society 3026
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1920
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1378
- IEEE journal of biomedical and health informatics 1181
- Journal of chemical information and modeling 1072
- Nature communications 1055
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 879
- Journal of medical Internet research 871
- IEEE transactions on neural networks and learning systems 857