AIMC Topic: Middle Aged
Clear Filters Showing 2241 to 2250 of 14424 articles
Predicting blood transfusion demand in intensive care patients after surgery by comparative analysis of temporally extended data selection.
BMC medical informatics and decision making
Dec 18, 2024
BACKGROUND: Blood transfusion (BT) is a critical aspect of medical care for surgical patients in the Intensive Care Unit (ICU). Timely and accurate identification of BT needs can enhance patient outcomes and healthcare resource management.
A potential predictive model based on machine learning and CPD parameters in elderly patients with aplastic anemia and myelodysplastic neoplasms.
BMC medical informatics and decision making
Dec 18, 2024
BACKGROUND: Aplastic anemia (AA) and myelodysplastic neoplasms (MDS) have similar peripheral blood manifestations and are clinically characterized by reduced hematological triad. It is challenging to distinguish and diagnose these two diseases. Hence...
Machine learning models predict the progression of long-term renal insufficiency in patients with renal cancer after radical nephrectomy.
BMC nephrology
Dec 18, 2024
BACKGROUND: Chronic Kidney Disease (CKD) is a common severe complication after radical nephrectomy in patients with renal cancer. The timely and accurate prediction of the long-term progression of renal function post-surgery is crucial for early inte...
Auxiliary identification of depression patients using interpretable machine learning models based on heart rate variability: a retrospective study.
BMC psychiatry
Dec 18, 2024
OBJECTIVE: Depression has emerged as a global public health concern with high incidence and disability rates, which are timely imperative to identify and intervene in clinical practice. The objective of this study was to explore the association betwe...
Detection of cardiac amyloidosis using machine learning on routine echocardiographic measurements.
Open heart
Dec 18, 2024
BACKGROUND: Cardiac amyloidosis (CA) is an underdiagnosed, progressive and lethal disease. Machine learning applied to common measurements derived from routine echocardiogram studies can inform suspicion of CA.
Exploring the acceptance of virtual reality training systems among construction workers: a combined structural equation modeling and artificial neural network approach.
Frontiers in public health
Dec 18, 2024
Virtual Reality Training System (VRTS) has been verified effective in safety training in the construction field. However, in China, it is not widely used as a regular training tool. Among all the reasons, the acceptance level of construction workers ...
Profiling the AI speaker user: Machine learning insights into consumer adoption patterns.
PloS one
Dec 18, 2024
The objective of this study is to identify the characteristics of users of AI speakers and predict potential consumers, with the aim of supporting effective advertising and marketing strategies in the fast-evolving media technology landscape. To do s...
Fine-Tuning on AI-Driven Video Analysis through Machine Learning: Development of an Automated Evaluation Tool of Facial Palsy.
Plastic and reconstructive surgery
Dec 17, 2024
BACKGROUND: Establishment of a quantitative, objective evaluation tool for facial palsy has been a challenging issue for clinicians and researchers, and artificial intelligence-driven video analysis can be considered a reasonable solution. The author...
Stimulated Raman Histology and Artificial Intelligence Provide Near Real-Time Interpretation of Radical Prostatectomy Surgical Margins.
The Journal of urology
Dec 17, 2024
PURPOSE: Balancing surgical margins and functional outcomes is crucial during radical prostatectomy for prostate cancer. Stimulated Raman histology (SRH) is a novel, real-time imaging technique that provides histologic images of fresh, unprocessed, a...
Comparison of Intratumoral and Peritumoral Deep Learning, Radiomics, and Fusion Models for Predicting KRAS Gene Mutations in Rectal Cancer Based on Endorectal Ultrasound Imaging.
Annals of surgical oncology
Dec 17, 2024
MAIN OBJECTIVES: We aimed at comparing intratumoral and peritumoral deep learning, radiomics, and fusion models in predicting KRAS mutations in rectal cancer using endorectal ultrasound imaging.
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 30604
- Neural Networks, Computer 29501
- Algorithms 26543
- Deep Learning 26021
- Artificial Intelligence 24045
- Robotics 13285
- Image Processing, Computer-Assisted 9385
- Retrospective Studies 8940
- Magnetic Resonance Imaging 6074
- Reproducibility of Results 5538
- Tomography, X-Ray Computed 4681
- Support Vector Machine 4644
- Computational Biology 4190
- Brain 3991
- Computer Simulation 3857
Recent Journals
- Scientific reports 5369
- Sensors (Basel, Switzerland) 4794
- PloS one 3983
- Neural networks : the official journal of the International Neural Network Society 2927
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1836
- 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 1278
- IEEE journal of biomedical and health informatics 1121
- Journal of chemical information and modeling 987
- Nature communications 889
- Computer methods and programs in biomedicine 863
- Bioinformatics (Oxford, England) 858
- Briefings in bioinformatics 849
- IEEE transactions on neural networks and learning systems 820