AIMC Topic: Aged
Clear Filters Showing 631 to 640 of 13244 articles
Aphasia severity prediction using a multi-modal machine learning approach.
NeuroImage
Jun 17, 2025
The present study examined an integrated multiple neuroimaging modality (T1 structural, Diffusion Tensor Imaging (DTI), and resting-state FMRI (rsFMRI)) to predict aphasia severity using Western Aphasia Battery-Revised Aphasia Quotient (WAB-R AQ) in ...
Impact of Field-of-view Zooming and Segmentation Batches on Radiomics Features Reproducibility and Machine Learning Performance in Thyroid Scintigraphy.
Clinical nuclear medicine
Jun 17, 2025
BACKGROUND: Thyroid diseases are the second most common hormonal disorders, necessitating accurate diagnostics. Advances in artificial intelligence and radiomics have enhanced diagnostic precision by analyzing quantitative imaging features. However, ...
A Robust Residual Three-dimensional Convolutional Neural Networks Model for Prediction of Amyloid-β Positivity by Using FDG-PET.
Clinical nuclear medicine
Jun 17, 2025
BACKGROUND: Widely used in oncology PET, 2-deoxy-2- 18 F-FDG PET is more accessible and affordable than amyloid PET, which is a crucial tool to determine amyloid positivity in diagnosis of Alzheimer disease (AD). This study aimed to leverage deep lea...
Predicting 14-day readmission in middle-aged and elderly patients with pneumonia using emergency department data: a multicentre retrospective cohort study with a survival machine learning approach.
BMJ open
Jun 17, 2025
OBJECTIVES: Unplanned pneumonia readmissions increase patient morbidity, mortality and healthcare costs. Among pneumonia patients, the middle-aged and elderly (≥45 years old) have a significantly higher risk of readmission compared with the young. Gi...
Development and interpretation of machine learning-based prognostic models for predicting high-risk prognostic pathological components in pulmonary nodules: integrating clinical features, serum tumor marker and imaging features.
Journal of cancer research and clinical oncology
Jun 17, 2025
BACKGROUND: With the improvement of imaging, the screening rate of Pulmonary nodules (PNs) has further increased, but their identification of High-Risk Prognostic Pathological Components (HRPPC) is still a major challenge. In this study, we aimed to ...
Prediction of future aging-related slow gait and its determinants with deep learning and logistic regression.
PloS one
Jun 17, 2025
BACKGROUND: Identification of accelerated aging and its biomarkers can lead to more timely therapeutic interventions and decision-making. Therefore, we sought to predict aging-related slow gait, a known predictor of accelerated aging, and its determi...
Enhanced cardiovascular risk prediction in the Western Pacific: A machine learning approach tailored to the Malaysian population.
PloS one
Jun 17, 2025
BACKGROUND: Cardiovascular disease (CVD) is a significant public health challenge in the Western Pacific region, including Malaysia.
The value of a deep learning image reconstruction algorithm for assessing vertebral compression fractures using dual-energy computed tomography.
European journal of radiology
Jun 16, 2025
PURPOSE: To evaluate the value of deep learning image reconstruction (DLIR) in improving image quality of virtual non-hydroxyapatite (VNHAP) and virtual monoenergetic images (VMIs), and radiologists' performance in detecting acute vertebral compressi...
Classification of glioma grade and Ki-67 level prediction in MRI data: A SHAP-driven interpretation.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Jun 16, 2025
This study focuses on artificial intelligence-driven classification of glioma and Ki-67 leveling using T2w-FLAIR MRI, exploring the association of Ki-67 biomarkers with deep learning (DL) features through explainable artificial intelligence (XAI) and...
Whole-lesion-aware network based on freehand ultrasound video for breast cancer assessment: a prospective multicenter study.
Cancer imaging : the official publication of the International Cancer Imaging Society
Jun 16, 2025
BACKGROUND: The clinical application of artificial intelligence (AI) models based on breast ultrasound static images has been hindered in real-world workflows due to operator-dependence of standardized image acquisition and incomplete view of breast ...
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 32555
- Neural Networks, Computer 30510
- Algorithms 27756
- Deep Learning 27309
- Artificial Intelligence 25231
- Robotics 13435
- Image Processing, Computer-Assisted 9895
- Retrospective Studies 9539
- Magnetic Resonance Imaging 6484
- Reproducibility of Results 5747
- Tomography, X-Ray Computed 4963
- Support Vector Machine 4815
- Computational Biology 4399
- Brain 4188
- Computer Simulation 3965
Recent Journals
- Scientific reports 7014
- Sensors (Basel, Switzerland) 4794
- PloS one 4338
- Neural networks : the official journal of the International Neural Network Society 3035
- Computers in biology and medicine 2040
- Computational intelligence and neuroscience 1931
- 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 1395
- IEEE journal of biomedical and health informatics 1201
- Journal of chemical information and modeling 1089
- Nature communications 1072
- Computer methods and programs in biomedicine 895
- Journal of medical Internet research 882
- Bioinformatics (Oxford, England) 882
- IEEE transactions on neural networks and learning systems 859