AIMC Topic: Middle Aged
Clear Filters Showing 2431 to 2440 of 14432 articles
Single-Port Three-Dimensional Endoscopic-Assisted Axillary Lymph Node Dissection (S-P 3D E-ALND): Surgical Technique and Preliminary Results.
The breast journal
Dec 4, 2024
Endoscopic-assisted breast surgery (EABS) provides better cosmetic outcomes for breast cancer patients with small incisions in an inconspicuous area. However, an extended incision and heavy assistant retraction are usually required for an adequate e...
Effects of Robot-Assisted Gait Training on Balance and Fear of Falling in Patients With Stroke: A Randomized Controlled Clinical Trial.
American journal of physical medicine & rehabilitation
Dec 3, 2024
OBJECTIVE: The aim of this study was compare the effects of combined training, which included robot-assisted gait training in addition to traditional balance training, and traditional balance training alone on balance and fear of falling in patients ...
PREDICTING IN-HOSPITAL MORTALITY IN CRITICAL ORTHOPEDIC TRAUMA PATIENTS WITH SEPSIS USING MACHINE LEARNING MODELS.
Shock (Augusta, Ga.)
Dec 3, 2024
Purpose: This study aims to establish and validate machine learning-based models to predict death in hospital among critical orthopedic trauma patients with sepsis or respiratory failure. Methods: This study collected 523 patients from the Medical In...
Explainable machine learning identifies a polygenic risk score as a key predictor of pancreatic cancer risk in the UK Biobank.
Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver
Dec 3, 2024
BACKGROUND: Predicting the risk of developing pancreatic ductal adenocarcinoma (PDAC) is of paramount importance, given its high mortality rate. Current PDAC risk prediction models rely on a limited number of variables, do not include genetics, and h...
ChatGPT vs. surgeons on pancreatic cancer queries: accuracy & empathy evaluated by patients and experts.
HPB : the official journal of the International Hepato Pancreato Biliary Association
Dec 3, 2024
BACKGROUND: Artificial intelligence (AI) offers potential support in patient-clinician interactions, but its impact on such communication remains unexplored.
Artificial Intelligence-Driven Patient Selection for Preoperative Portal Vein Embolization for Patients with Colorectal Cancer Liver Metastases.
Journal of vascular and interventional radiology : JVIR
Dec 3, 2024
PURPOSE: To develop a machine learning algorithm to improve hepatic resection selection for patients with metastatic colorectal cancer (CRC) by predicting post-portal vein embolization (PVE) outcomes.
Portal Vein
Patient-Specific Modeling
Liver Regeneration
Colorectal Neoplasms
Male
Middle Aged
Liver Neoplasms
Clinical Decision-Making
Treatment Outcome
Humans
Female
Predictive Value of Tests
Machine Learning
Reproducibility of Results
Patient Selection
Decision Support Techniques
Hepatectomy
Retrospective Studies
Embolization, Therapeutic
Aged
Adult
Comparative Analysis of Nomogram and Machine Learning Models for Predicting Axillary Lymph Node Metastasis in Early-Stage Breast Cancer: A Study on Clinically and Ultrasound-Negative Axillary Cases Across Two Centers.
Ultrasound in medicine & biology
Dec 3, 2024
OBJECTIVE: Early and accurate prediction of axillary lymph node metastasis (ALNM) is crucial in determining appropriate treatment strategies for patients with early-stage breast cancer. The aim of this study was to evaluate the efficacy of radiomic f...
Machine learning in predicting cauda equina imaging outcomes- a solution to the problem.
European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society
Dec 3, 2024
PURPOSE: Cauda Equina Syndrome (CES) is a rare surgical emergency. The implications for loss of quality of life through delayed management are high, though no clinical symptom is pathognomonic in its diagnosis. We describe how machine learning based ...
Assessing Locomotive Syndrome Through Instrumented Five-Time Sit-to-Stand Test and Machine Learning.
Sensors (Basel, Switzerland)
Dec 3, 2024
Locomotive syndrome (LS) refers to a condition where individuals face challenges in performing activities of daily living. Early detection of such deterioration is crucial to reduce the need for nursing care. The Geriatric Locomotive Function Scale (...
RNA Editing Signatures Powered by Artificial Intelligence: A New Frontier in Differentiating Schizophrenia, Bipolar, and Schizoaffective Disorders.
International journal of molecular sciences
Dec 3, 2024
Mental health disorders are devastating illnesses, often misdiagnosed due to overlapping clinical symptoms. Among these conditions, bipolar disorder, schizophrenia, and schizoaffective disorder are particularly difficult to distinguish, as they share...
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 30619
- Neural Networks, Computer 29506
- Algorithms 26548
- Deep Learning 26025
- Artificial Intelligence 24055
- Robotics 13286
- Image Processing, Computer-Assisted 9387
- Retrospective Studies 8943
- Magnetic Resonance Imaging 6074
- Reproducibility of Results 5540
- Tomography, X-Ray Computed 4682
- Support Vector Machine 4644
- Computational Biology 4191
- Brain 3993
- Computer Simulation 3858
Recent Journals
- Scientific reports 5371
- Sensors (Basel, Switzerland) 4794
- PloS one 3990
- Neural networks : the official journal of the International Neural Network Society 2927
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1839
- 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 1122
- Journal of chemical information and modeling 987
- Nature communications 889
- Computer methods and programs in biomedicine 863
- Bioinformatics (Oxford, England) 859
- Briefings in bioinformatics 849
- IEEE transactions on neural networks and learning systems 822