AIMC Topic: Length of Stay
Clear Filters Showing 291 to 300 of 390 articles
Endoscopic robot-assisted simple enucleation (ERASE) for clinical T1 renal masses: description of the technique and early postoperative results.
Surgical endoscopy
Aug 27, 2014
BACKGROUND: Simple enucleation (SE) has proven to be oncologically safe. We describe the surgical steps and report the results of the Endoscopic Robotic-Assisted Simple Enucleation (ERASE) technique.
Learning curve analysis of intracorporeal cuff suturing during robotic single-site total hysterectomy.
Journal of minimally invasive gynecology
Jun 19, 2014
STUDY OBJECTIVE: To analyze the learning curve of intracorporeal cuff suturing during robotic single-site total hysterectomy.
Understanding deep learning models for Length of Stay prediction on critically ill patients through latent space visualization.
Computer methods and programs in biomedicine
Aug 1, 2025
BACKGROUND AND OBJECTIVE: Continuous, real-time monitoring of Length of Stay (LoS) for critically ill patients in Intensive Care Units (ICUs) is essential for anticipating patient needs, reduce the risk of adverse events, optimize resource allocation...
Machine learning approaches for predicting prolonged hospital length of stay after lumbar fusion surgery in patients aged 75 years and older: a retrospective cohort study based on comprehensive geriatric assessment.
Neurosurgical focus
Jul 1, 2025
OBJECTIVE: Postoperative recovery following lumbar fusion surgery in patients aged 75 years and older often requires a prolonged length of stay (PLOS) in the hospital. Accurately predicting the risk of PLOS and assessing its risk factors for preopera...
Healing with hierarchy: Hierarchical attention empowered graph neural networks for predictive analysis in medical data.
Artificial intelligence in medicine
Jul 1, 2025
In healthcare, predictive analysis using unstructured medical data is crucial for gaining insights into patient conditions and outcomes. However, unstructured data, which contains valuable patient information such as symptoms and medical histories, o...
Comparison of Sarcopenia Assessment in Liver Transplant Recipients by Computed Tomography Freehand Region-of-Interest versus an Automated Deep Learning System.
Clinical transplantation
Jun 1, 2025
INTRODUCTION: Sarcopenia, or the loss of muscle quality and quantity, has been associated with poor clinical outcomes in liver transplantation such as infection, increased length of stay, and increased patient mortality. Abdominal computed tomography...
Optimizing predictive model performance in adult spinal deformity surgery: a comparative head-to-head analysis of learning models for perioperative complications.
Neurosurgical focus
Jun 1, 2025
OBJECTIVE: The aim of this study was to develop and compare 4 predictive algorithms, including logistic regression (LR), random forest (RF), gradient boosting machine (GBM), and neural network (NN), for perioperative outcomes in adult spinal deformit...
Relationship between medication regimen complexity and pharmacist engagement in fluid stewardship.
American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists
May 23, 2025
PURPOSE: The medication regimen complexity intensive care unit (MRC-ICU) score has previously been associated with pharmacist workload and fluid overload. The purpose of this study was to determine the relationship of MRC-ICU score with pharmacist-dr...
Forecasting Surgical Bed Utilization: Architectural Design of a Machine Learning Pipeline Incorporating Predicted Length of Stay and Surgical Volume.
Journal of medical systems
May 21, 2025
The objective of this study was to develop a machine learning model utilizing data from the electronic health record (EHR) to model length of stay and daily surgical volume, in order to subsequently predict daily surgical inpatient bed utilization. M...
Assessing artificial intelligence ability in predicting hospitalization duration for pleural empyema patients managed with uniportal video-assisted thoracoscopic surgery: a retrospective observational study.
BMC surgery
May 19, 2025
BACKGROUND: This retrospective observational research evaluates the potential applicability of artificial intelligence models to predict the length of hospital stay for patients with pleural empyema who underwent uniportal video-assisted thoracoscopi...
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 31059
- Neural Networks, Computer 29727
- Algorithms 26848
- Deep Learning 26366
- Artificial Intelligence 24311
- Robotics 13314
- Image Processing, Computer-Assisted 9527
- Retrospective Studies 9114
- Magnetic Resonance Imaging 6186
- Reproducibility of Results 5593
- Tomography, X-Ray Computed 4772
- Support Vector Machine 4688
- Computational Biology 4240
- Brain 4053
- Computer Simulation 3882
Recent Journals
- Scientific reports 5971
- Sensors (Basel, Switzerland) 4794
- PloS one 4022
- Neural networks : the official journal of the International Neural Network Society 2930
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1860
- 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 1131
- Journal of chemical information and modeling 1000
- Nature communications 949
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 861
- Briefings in bioinformatics 853
- IEEE transactions on neural networks and learning systems 826