AIMC Topic: Postoperative Complications
Clear Filters Showing 631 to 640 of 993 articles
Single-stage posterior total en bloc spondylectomy in the treatment of lumbar spinal metastases.
Clinical neurology and neurosurgery
Dec 20, 2019
OBJECTIVE: To report the clinical and radiographic outcomes of single-stage posterior total en bloc spondylectomy (TES) of lumbar spinal metastases.
Postoperative Complications
Prostatic Neoplasms
Surgical Wound Infection
Adult
Kidney Neoplasms
Length of Stay
Neurosurgical Procedures
Biomechanical Phenomena
Psoas Muscles
Low Back Pain
Liver Neoplasms
Male
Lumbar Vertebrae
Spinal Neoplasms
Metastasectomy
Lung Neoplasms
Middle Aged
Rectal Neoplasms
Spinal Nerve Roots
Blood Loss, Surgical
Operative Time
Humans
Cerebrospinal Fluid Leak
Retrospective Studies
Pain Measurement
Female
Plastic Surgery Procedures
Aged
Machine learning methods are comparable to logistic regression techniques in predicting severe walking limitation following total knee arthroplasty.
Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA
Dec 12, 2019
PURPOSE: Machine-learning methods are flexible prediction algorithms with potential advantages over conventional regression. This study aimed to use machine learning methods to predict post-total knee arthroplasty (TKA) walking limitation, and to com...
Machine learning of physiological waveforms and electronic health record data to predict, diagnose and treat haemodynamic instability in surgical patients: protocol for a retrospective study.
BMJ open
Dec 2, 2019
INTRODUCTION: About 42 million surgeries are performed annually in the USA. While the postoperative mortality is less than 2%, 12% of all patients in the high-risk surgery group account for 80% of postoperative deaths. New onset of haemodynamic insta...
Machine learning for the prediction of acute kidney injury and paraplegia after thoracoabdominal aortic aneurysm repair.
Journal of cardiac surgery
Nov 25, 2019
OBJECTIVE: Prediction of acute renal failure (ARF) and paraplegia after thoracoabdominal aortic aneurysm repair (TAAAR) is helpful for decision-making during the postoperative phase. To find a more efficient method for making a prediction, we perform...
The potential of machine learning to predict postoperative pancreatic fistula based on preoperative, non-contrast-enhanced CT: A proof-of-principle study.
Surgery
Nov 11, 2019
BACKGROUND: Postoperative pancreatic fistula remains an unsolved challenge after pancreatoduodenectomy. Important in this regard is the presence of a soft pancreatic texture which is a major risk factor. Advances in machine learning and texture analy...
Utilizing Machine Learning for Pre- and Postoperative Assessment of Patients Undergoing Resection for BCLC-0, A and B Hepatocellular Carcinoma: Implications for Resection Beyond the BCLC Guidelines.
Annals of surgical oncology
Nov 6, 2019
BACKGROUND: There is an ongoing debate about expanding the resection criteria for hepatocellular carcinoma (HCC) beyond the Barcelona Clinic Liver Cancer (BCLC) guidelines. We sought to determine the factors that held the most prognostic weight in th...
Safety and efficacy of transoral robotic and endoscopic thyroidectomy: The first 100 cases.
Head & neck
Nov 4, 2019
BACKGROUND: The aim of this study was to evaluate the safety and efficacy of transoral robotic and endoscopic thyroidectomy.
Robot-assisted Nipple-sparing Mastectomy with Immediate Breast Reconstruction: An Initial Experience.
Scientific reports
Oct 30, 2019
Seeking smaller and indistinct incisions, physicians have attempted endoscopic breast surgery in breast cancer patients. Unfortunately, there are some limitations in the range of movement and visualization of the operation field. Potentially addressi...
Can We Improve Prediction of Adverse Surgical Outcomes? Development of a Surgical Complexity Score Using a Novel Machine Learning Technique.
Journal of the American College of Surgeons
Oct 28, 2019
BACKGROUND: An optimal method to quantify surgical complexity using patient comorbidities derived from administrative billing data is lacking. We sought to develop a novel, easy-to-use surgical Complexity Score to accurately predict adverse outcomes ...
MediMLP: Using Grad-CAM to Extract Crucial Variables for Lung Cancer Postoperative Complication Prediction.
IEEE journal of biomedical and health informatics
Oct 25, 2019
Lung cancer postoperative complication prediction (PCP) is significant for decreasing the perioperative mortality rate after lung cancer surgery. In this paper we concentrate on two PCP tasks: (1) the binary classification for predicting whether a pa...
Stay Ahead of Medical AI
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 32091
- Neural Networks, Computer 30255
- Algorithms 27448
- Deep Learning 26951
- Artificial Intelligence 24880
- Robotics 13397
- Image Processing, Computer-Assisted 9750
- Retrospective Studies 9368
- Magnetic Resonance Imaging 6357
- Reproducibility of Results 5674
- Tomography, X-Ray Computed 4872
- Support Vector Machine 4776
- Computational Biology 4347
- Brain 4135
- Computer Simulation 3937
Recent Journals
- Scientific reports 6908
- Sensors (Basel, Switzerland) 4794
- PloS one 4228
- Neural networks : the official journal of the International Neural Network Society 3026
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1920
- 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 1181
- Journal of chemical information and modeling 1072
- Nature communications 1055
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 879
- Journal of medical Internet research 871
- IEEE transactions on neural networks and learning systems 857