AIMC Topic: Postoperative Complications

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A predictive model for post-thoracoscopic surgery pulmonary complications based on the PBNN algorithm.

Scientific reports Mar 25, 2024
We constructed an early prediction model for postoperative pulmonary complications after thoracoscopic surgery using machine learning and deep learning algorithms. The artificial intelligence prediction models were built in Python, primarily using ar...
Artificial Intelligence Algorithms Postoperative Complications Blood Glucose Bayes Theorem Humans Neural Networks, Computer
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Development of Machine Learning Algorithm to Predict the Risk of Incontinence After Robot-Assisted Radical Prostatectomy.

Journal of endourology Mar 21, 2024
Predicting postoperative incontinence beforehand is crucial for intensified and personalized rehabilitation after robot-assisted radical prostatectomy. Although nomograms exist, their retrospective limitations highlight artificial intelligence (AI)'...
Humans Risk Assessment Postoperative Complications Prostatic Neoplasms Robotic Surgical Procedures Aged Prostatectomy Machine Learning Male Urinary Incontinence Retrospective Studies Middle Aged Risk Factors
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Long-term outcomes of robot-assisted versus minimally invasive esophagectomy in patients with thoracic esophageal cancer: a propensity score-matched study.

World journal of surgical oncology Mar 20, 2024
BACKGROUND: Recently, robot-assisted minimally invasive esophagectomy (RAMIE) has gained popularity worldwide. Some studies have compared the long-term results of RAMIE and minimally invasive esophagectomy (MIE). However, there are no reports on the ...
Minimally Invasive Surgical Procedures Robotic Surgical Procedures Esophagectomy Esophageal Neoplasms Propensity Score Postoperative Complications Treatment Outcome Robotics Humans Retrospective Studies
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A Pilot Study Using Machine-learning Algorithms and Wearable Technology for the Early Detection of Postoperative Complications After Cardiothoracic Surgery.

Annals of surgery Mar 14, 2024
OBJECTIVE: To evaluate whether a machine-learning algorithm (ie, the "NightSignal" algorithm) can be used for the detection of postoperative complications before symptom onset after cardiothoracic surgery.
Female Aged Male Machine Learning Algorithms Prospective Studies Wearable Electronic Devices Cardiac Surgical Procedures Early Diagnosis Middle Aged Postoperative Complications Pilot Projects Humans
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Machine learning improves prediction of postoperative outcomes after gastrointestinal surgery: a systematic review and meta-analysis.

Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract Mar 12, 2024
BACKGROUND: Machine learning (ML) approaches have become increasingly popular in predicting surgical outcomes. However, it is unknown whether they are superior to traditional statistical methods such as logistic regression (LR). This study aimed to p...
Digestive System Surgical Procedures ROC Curve Logistic Models Area Under Curve Humans Machine Learning Postoperative Complications
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Development and validation of 'Patient Optimizer' (POP) algorithms for predicting surgical risk with machine learning.

BMC medical informatics and decision making Mar 11, 2024
BACKGROUND: Pre-operative risk assessment can help clinicians prepare patients for surgery, reducing the risk of perioperative complications, length of hospital stay, readmission and mortality. Further, it can facilitate collaborative decision-making...
Postoperative Complications Renal Insufficiency Hospitals, Teaching Prospective Studies Retrospective Studies Adult Humans Machine Learning Algorithms
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Gasless robot-assisted transaxillary hemithyroidectomy (RATH): learning curve and complications.

BMC surgery Mar 2, 2024
PURPOSE: Gasless robot-assisted transaxillary hemithyroidectomy (RATH) is regarded as an alternative surgical option for thyroid operations. However, the associated steep learning curve is a clinical concern. This study evaluated the learning curve o...
Learning Curve Thyroidectomy Thyroid Neoplasms Robotics Humans Retrospective Studies Postoperative Complications
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Deep learning-based prediction of post-pancreaticoduodenectomy pancreatic fistula.

Scientific reports Mar 1, 2024
Postoperative pancreatic fistula is a life-threatening complication with an unmet need for accurate prediction. This study was aimed to develop preoperative artificial intelligence-based prediction models. Patients who underwent pancreaticoduodenecto...
Humans Artificial Intelligence ROC Curve Pancreatic Fistula Pancreaticoduodenectomy Risk Factors Postoperative Complications Deep Learning
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An ingestible self-propelling device for intestinal reanimation.

Science robotics Feb 28, 2024
Postoperative ileus (POI) is the leading cause of prolonged hospital stay after abdominal surgery and is characterized by a functional paralysis of the digestive tract, leading to symptoms such as constipation, vomiting, and functional obstruction. C...
Gastrointestinal Motility Swine Animals Intestines Ileus Postoperative Complications Robotics
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The learning curve of robot-assisted laparoscopic pyeloplasty in children.

Journal of robotic surgery Feb 28, 2024
To explore the learning curve of robot-assisted laparoscopic pyeloplasty (RALP) in children. The clinical data, surgical information, and postoperative complications of consecutive cases of RALP performed by the same surgeon in Shanghai Children's Ho...
Laparoscopy Robotic Surgical Procedures Kidney Pelvis Humans Child Retrospective Studies Treatment Outcome Ureteral Obstruction Postoperative Complications Robotics Urologic Surgical Procedures China Learning Curve
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