AIMC Topic: Aged
Clear Filters Showing 4771 to 4780 of 13246 articles
Identifying patients with undiagnosed small intestinal neuroendocrine tumours in primary care using statistical and machine learning: model development and validation study.
British journal of cancer
Jun 3, 2024
BACKGROUND: Neuroendocrine tumours (NETs) are increasing in incidence, often diagnosed at advanced stages, and individuals may experience years of diagnostic delay, particularly when arising from the small intestine (SI). Clinical prediction models c...
Optimizing Rare Disease Gait Classification through Data Balancing and Generative AI: Insights from Hereditary Cerebellar Ataxia.
Sensors (Basel, Switzerland)
Jun 3, 2024
The interpretability of gait analysis studies in people with rare diseases, such as those with primary hereditary cerebellar ataxia (pwCA), is frequently limited by the small sample sizes and unbalanced datasets. The purpose of this study was to asse...
Identification of shared gene signatures and pathways for diagnosing osteoporosis with sarcopenia through integrated bioinformatics analysis and machine learning.
BMC musculoskeletal disorders
Jun 3, 2024
BACKGROUND: Prior studies have suggested a potential relationship between osteoporosis and sarcopenia, both of which can present symptoms of compromised mobility. Additionally, fractures among the elderly are often considered a common outcome of both...
Deep learning-based risk stratification of preoperative breast biopsies using digital whole slide images.
Breast cancer research : BCR
Jun 3, 2024
BACKGROUND: Nottingham histological grade (NHG) is a well established prognostic factor in breast cancer histopathology but has a high inter-assessor variability with many tumours being classified as intermediate grade, NHG2. Here, we evaluate if Dee...
Prognostic biomarkers of intracerebral hemorrhage identified using targeted proteomics and machine learning algorithms.
PloS one
Jun 3, 2024
Early prognostication of patient outcomes in intracerebral hemorrhage (ICH) is critical for patient care. We aim to investigate protein biomarkers' role in prognosticating outcomes in ICH patients. We assessed 22 protein biomarkers using targeted pro...
Mammographic density assessment: comparison of radiologists, automated volumetric measurement, and artificial intelligence-based computer-assisted diagnosis.
Acta radiologica (Stockholm, Sweden : 1987)
Jun 2, 2024
BACKGROUND: Artificial intelligence-based computer-assisted diagnosis (AI-CAD) is increasingly used for mammographic exams, and its role in mammographic density assessment should be evaluated.
Automatic Recognition of Auditory Brainstem Response Waveforms Using a Deep Learning-Based Framework.
Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery
Jun 1, 2024
OBJECTIVE: Recognition of auditory brainstem response (ABR) waveforms may be challenging, particularly for older individuals or those with hearing loss. This study aimed to investigate deep learning frameworks to improve the automatic recognition of ...
Machine learning-based model for predicting outcomes in cerebral hemorrhage patients with leukemia.
European journal of radiology
Jun 1, 2024
BACKGROUND AND PURPOSE: Intracranial hemorrhage (ICH) in leukemia patients progresses rapidly with high mortality. Limited data are available on imaging studies in this population. The study aims to develop prediction models for 7-day and short-term ...
Construction and validation of a clinical risk model based on machine learning for screening characteristic factors of lymphovascular space invasion in endometrial cancer.
Scientific reports
Jun 1, 2024
This study aimed to identify factors that affect lymphovascular space invasion (LVSI) in endometrial cancer (EC) using machine learning technology, and to build a clinical risk assessment model based on these factors. Samples were collected from May ...
Relationships between minerals' intake and blood homocysteine levels based on three machine learning methods: a large cross-sectional study.
Nutrition & diabetes
Jun 1, 2024
BACKGROUND: Blood homocysteine (Hcy) level has become a sensitive indicator in predicting the development of cardiovascular disease. Studies have shown an association between individual mineral intake and blood Hcy levels. The effect of mixed mineral...
Don't Miss the Future of Medicine
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 32557
- Neural Networks, Computer 30510
- Algorithms 27757
- Deep Learning 27309
- Artificial Intelligence 25232
- Robotics 13437
- Image Processing, Computer-Assisted 9895
- Retrospective Studies 9539
- Magnetic Resonance Imaging 6485
- Reproducibility of Results 5747
- Tomography, X-Ray Computed 4963
- Support Vector Machine 4816
- Computational Biology 4399
- Brain 4188
- Computer Simulation 3965
Recent Journals
- Scientific reports 7016
- Sensors (Basel, Switzerland) 4794
- PloS one 4344
- 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 1202
- Journal of chemical information and modeling 1092
- Nature communications 1072
- Computer methods and programs in biomedicine 895
- Journal of medical Internet research 884
- Bioinformatics (Oxford, England) 882
- IEEE transactions on neural networks and learning systems 860