AIMC Topic: Length of Stay
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Robotic hepatic resection in postero-superior region of liver.
Updates in surgery
Oct 8, 2020
OBJECTIVE: Laparoscopic hepatectomy in the posterosuperior hepatic region is technically challenging and demanding. However, minimally invasive procedures carried out using the Da Vinci robot provide potential advantages in complex hepatectomy. This ...
A comparison of the efficacy, safety, and duration of frame-based and Remebot robot-assisted frameless stereotactic biopsy.
British journal of neurosurgery
Sep 17, 2020
OBJECTIVE: The aim of this study was to compare the efficacy, safety, and duration of Remebot robot-assisted frameless brain biopsy with those of standard frame-based stereotactic biopsy.
Deep Learning and Multivariable Models Select EVAR Patients for Short-Stay Discharge.
Vascular and endovascular surgery
Sep 10, 2020
OBJECTIVES: We sought to develop a prediction score with data from the Vascular Quality Initiative (VQI) EVAR in efforts to assist endovascular specialists in deciding whether or not a patient is appropriate for short-stay discharge.
Humans
Health Services Research
Risk Factors
Aortic Aneurysm
Aged
Risk Assessment
Smartphone
Patient Selection
Aged, 80 and over
Deep Learning
Mobile Applications
Multivariate Analysis
Male
Decision Support Techniques
Length of Stay
Treatment Outcome
Endovascular Procedures
Databases, Factual
Enhanced Recovery After Surgery
Clinical Decision-Making
Patient Discharge
Time Factors
Female
Early experience utilizing artificial intelligence shows significant reduction in transfer times and length of stay in a hub and spoke model.
Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences
Aug 26, 2020
BACKGROUND: Recently approved artificial intelligence (AI) software utilizes AI powered large vessel occlusion (LVO) detection technology which automatically identifies suspected LVO through CT angiogram (CTA) imaging and alerts on-call stroke teams....
Using Machine Learning to Make Predictions in Patients Who Fall.
The Journal of surgical research
Aug 18, 2020
BACKGROUND: As the population ages, the incidence of traumatic falls has been increasing. We hypothesize that a machine learning algorithm can more accurately predict mortality after a fall compared with a standard logistic regression (LR) model base...
Robotic Versus Laparoscopic Approach to Hiatal Hernia Repair: Results After 7 Years of Robotic Experience.
The American surgeon
Aug 18, 2020
INTRODUCTION: Robotic hiatal hernia repair offers potential advantages over traditional laparoscopy, most notably enhanced visualization, improved ergonomics, and articulating instruments. The clinical outcomes, however, have not been adequately eval...
Stroke prognostication for discharge planning with machine learning: A derivation study.
Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia
Aug 5, 2020
Post-stroke discharge planning may be aided by accurate early prognostication. Machine learning may be able to assist with such prognostication. The study's primary aim was to evaluate the performance of machine learning models using admission data t...
Prediction on critically ill patients: The role of "big data".
Journal of critical care
Jul 23, 2020
Accurate outcome prediction in Intensive Care Units (ICUs) would allow for better treatment planning, risk adjustment of study populations, and overall improvements in patient care. In the past, prognostic models have focused on mortality using simpl...
Benchmarking machine learning models on multi-centre eICU critical care dataset.
PloS one
Jul 2, 2020
Progress of machine learning in critical care has been difficult to track, in part due to absence of public benchmarks. Other fields of research (such as computer vision and natural language processing) have established various competitions and publi...
Perioperative outcomes of robot-assisted vs video-assisted and traditional open thoracic surgery for lung cancer: A systematic review and network meta-analysis.
The international journal of medical robotics + computer assisted surgery : MRCAS
Jun 22, 2020
BACKGROUND: The superiority of robot-assisted thoracic surgery (RATS) over video-assisted thoracic surgery (VATS) and thoracotomy remains controversial for lung cancer.
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