AIMC Topic: Aged
Clear Filters Showing 3471 to 3480 of 13200 articles
Acute cholecystitis diagnosis in the emergency department: an artificial intelligence-based approach.
Langenbeck's archives of surgery
Sep 24, 2024
OBJECTIVES: This study aimed to assess the diagnostic performance of a support vector machine (SVM) algorithm for acute cholecystitis and evaluate its effectiveness in accurately diagnosing this condition.
Development and validation of a machine-learning model for predicting postoperative pneumonia in aneurysmal subarachnoid hemorrhage.
Neurosurgical review
Sep 24, 2024
Pneumonia is a common postoperative complication in patients with aneurysmal subarachnoid hemorrhage (aSAH), which is associated with poor prognosis and increased mortality. The aim of this study was to develop a predictive model for postoperative pn...
3-1-3 Weight averaging technique-based performance evaluation of deep neural networks for Alzheimer's disease detection using structural MRI.
Biomedical physics & engineering express
Sep 24, 2024
Alzheimer's disease (AD) is a progressive neurological disorder. It is identified by the gradual shrinkage of the brain and the loss of brain cells. This leads to cognitive decline and impaired social functioning, making it a major contributor to dem...
A Robust Deep Learning Method with Uncertainty Estimation for the Pathological Classification of Renal Cell Carcinoma Based on CT Images.
Journal of imaging informatics in medicine
Sep 23, 2024
This study developed and validated a deep learning-based diagnostic model with uncertainty estimation to aid radiologists in the preoperative differentiation of pathological subtypes of renal cell carcinoma (RCC) based on computed tomography (CT) ima...
Predicting malnutrition-based anemia in geriatric patients using machine learning methods.
Journal of evaluation in clinical practice
Sep 23, 2024
BACKGROUND: Anemia due to malnutrition may develop as a result of iron, folate and vitamin B12 deficiencies. This situation poses a higher risk of morbidity and mortality in the geriatric population than in other age groups. Therefore, early diagnosi...
Raman spectroscopy combined with machine learning and chemometrics analyses as a tool for identification atherosclerotic carotid stenosis from serum.
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Sep 23, 2024
Atherosclerosis carotid stenosis (ACS) is one of the main causes of stroke. Unfortunately, the highest number of people go to the doctor with an advanced disease or as a result of a stroke, because carotid atherosclerosis does not cause obvious sympt...
Enhancing pharmacist intervention targeting based on patient clustering with unsupervised machine learning.
Expert review of pharmacoeconomics & outcomes research
Sep 23, 2024
OBJECTIVES: Adherence to the American Diabetes Association (ADA) Standards of Medical Care is low. This study aimed to assist pharmacists in identifying patients for diabetes control interventions using unsupervised machine learning.
Pharmacists
Professional Role
Pharmaceutical Services
Hypoglycemic Agents
Diabetes Mellitus
Age Factors
Cluster Analysis
Unsupervised Machine Learning
Insurance, Health
Self Report
Sex Factors
Humans
Diabetes Complications
Male
Middle Aged
Machine Learning
Surveys and Questionnaires
Female
United States
Aged
Adult
Skin Cancer Detection in Diverse Skin Tones by Machine Learning Combining Audio and Visual Convolutional Neural Networks.
Oncology
Sep 23, 2024
INTRODUCTION: Skin cancer (SC) is common in fair skin (FS) at a 1:5 lifetime incidence for nonmelanoma skin cancer. In order to assist clinicians' decisions, a risk intervention technology was developed, which combines a dual-mode machine learning of...
Multi-modality artificial intelligence-based transthyretin amyloid cardiomyopathy detection in patients with severe aortic stenosis.
European journal of nuclear medicine and molecular imaging
Sep 23, 2024
PURPOSE: Transthyretin amyloid cardiomyopathy (ATTR-CM) is a frequent concomitant condition in patients with severe aortic stenosis (AS), yet it often remains undetected. This study aims to comprehensively evaluate artificial intelligence-based model...
Machine Learning-Enabled Fuhrman Grade in Clear-cell Renal Carcinoma Prediction Using Two-dimensional Ultrasound Images.
Ultrasound in medicine & biology
Sep 23, 2024
OBJECTIVE: Accurate assessment of Fuhrman grade is crucial for optimal clinical management and personalized treatment strategies in patients with clear cell renal cell carcinoma (CCRCC). In this study, we developed a predictive model using ultrasound...
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 32455
- Neural Networks, Computer 30462
- Algorithms 27698
- Deep Learning 27255
- Artificial Intelligence 25175
- Robotics 13421
- Image Processing, Computer-Assisted 9878
- Retrospective Studies 9516
- Magnetic Resonance Imaging 6476
- Reproducibility of Results 5737
- Tomography, X-Ray Computed 4955
- Support Vector Machine 4807
- Computational Biology 4390
- Brain 4181
- Computer Simulation 3958
Recent Journals
- Scientific reports 6990
- Sensors (Basel, Switzerland) 4794
- PloS one 4251
- Neural networks : the official journal of the International Neural Network Society 3035
- Computers in biology and medicine 2037
- 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 1378
- IEEE journal of biomedical and health informatics 1188
- Journal of chemical information and modeling 1077
- Nature communications 1069
- Computer methods and programs in biomedicine 895
- Bioinformatics (Oxford, England) 879
- Journal of medical Internet research 874
- IEEE transactions on neural networks and learning systems 859