AIMC Topic: Postoperative Period

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Conventional vs machine learning-based treatment planning in prostate brachytherapy: Results of a Phase I randomized controlled trial.

Brachytherapy Apr 19, 2020
PURPOSE: The purpose of this study was to evaluate the noninferiority of Day 30 dosimetry between a machine learning-based treatment planning system for prostate low-dose-rate (LDR) brachytherapy and the conventional, manual planning technique. As a ...
Male Middle Aged Time Factors Prostatic Neoplasms Humans Machine Learning Aged Radiation Dosage Postoperative Period Brachytherapy Radiotherapy Dosage Radiometry Rectum Workflow Iodine Radioisotopes Radiotherapy Planning, Computer-Assisted
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Comparison of medium-term survival outcomes between robot-assisted thoracoscopic surgery and video-assisted thoracoscopic surgery in treating primary lung cancer.

General thoracic and cardiovascular surgery Feb 13, 2020
OBJECTIVES: Robot-assisted thoracoscopic surgery (RATS) for primary lung cancer has been spreading rapidly in Japan. While RATS has various technical advantages over video-assisted thoracoscopic surgery (VATS), the quality of surgery from an oncologi...
Humans Prognosis Propensity Score Lung Neoplasms Follow-Up Studies Operative Time Female Survival Rate Pneumonectomy Robotics Aged Thoracic Surgery, Video-Assisted Male Aged, 80 and over Japan Middle Aged Adult Postoperative Period Time Factors
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Dynamic readmission prediction using routine postoperative laboratory results after radical cystectomy.

Urologic oncology Jan 14, 2020
OBJECTIVE: To determine if the addition of electronic health record data enables better risk stratification and readmission prediction after radical cystectomy. Despite efforts to reduce their frequency and severity, complications and readmissions fo...
Humans Machine Learning Electronic Health Records Female Cystectomy Postoperative Period Aged Male Urinary Bladder Neoplasms Patient Readmission
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Deep learning for risk assessment: all about automatic feature extraction.

British journal of anaesthesia Dec 6, 2019
Neural Networks, Computer Machine Learning Deep Learning Postoperative Period Humans
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Is obesity a contraindication for kidney donation?

Surgical endoscopy Oct 21, 2019
INTRODUCTION: To enlarge the donor pool, kidney donors with obesity have been considered. We hypothesized that it is safe for patients with obesity to serve as living kidney donors.
Obesity Robotics Postoperative Period Tissue and Organ Harvesting Humans Retrospective Studies Kidney Transplantation Female Adult Male
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The influence of hemodynamics on graft patency prediction model based on support vector machine.

Journal of biomechanics Oct 15, 2019
In the existing patency prediction model of coronary artery bypass grafting (CABG), the characteristics are based on graft flow, but no researchers selected hemodynamic factors as the characteristics. The purpose of this paper is to study whether the...
Humans Female Vascular Patency Mammary Arteries Aged Support Vector Machine Male Models, Statistical Middle Aged Postoperative Period Hemodynamics Coronary Artery Bypass
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Effect of bladder neck sparing at robot-assisted laparoscopic prostatectomy on postoperative continence rates and biochemical recurrence.

Urologic oncology Oct 2, 2019
OBJECTIVES: Previous studies reported improved continence recovery by bladder neck sparing (BNS) in prostate cancer patients treated with robot-assisted laparoscopic radical prostatectomy (RALP), without compromising biochemical recurrence (BCR). We ...
Robotics Prostatic Neoplasms Laparoscopy Robotic Surgical Procedures Postoperative Period Prostatectomy Organ Sparing Treatments Humans Male Middle Aged Treatment Outcome
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Deep-learning model for predicting 30-day postoperative mortality.

British journal of anaesthesia Sep 23, 2019
BACKGROUND: Postoperative mortality occurs in 1-2% of patients undergoing major inpatient surgery. The currently available prediction tools using summaries of intraoperative data are limited by their inability to reflect shifting risk associated with...
Deep Learning Support Vector Machine Predictive Value of Tests Surgical Procedures, Operative Postoperative Period Missouri Retrospective Studies Risk Assessment Postoperative Complications Comorbidity Humans Neural Networks, Computer Algorithms
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Machine Learning Algorithms Can Use Wearable Sensor Data to Accurately Predict Six-Week Patient-Reported Outcome Scores Following Joint Replacement in a Prospective Trial.

The Journal of arthroplasty Jul 24, 2019
BACKGROUND: Tracking patient-generated health data (PGHD) following total joint arthroplasty (TJA) may enable data-driven early intervention to improve clinical results. We aim to demonstrate the feasibility of combining machine learning (ML) with PG...
Osteoarthritis, Hip Monitoring, Ambulatory Postoperative Period Arthroplasty, Replacement, Hip Pilot Projects Osteoarthritis, Knee Female Wearable Electronic Devices Outcome Assessment, Health Care Humans Aged Signal Processing, Computer-Assisted Range of Motion, Articular Male Machine Learning Knee Joint Arthroplasty, Replacement, Knee Middle Aged Algorithms Patient Reported Outcome Measures Prospective Studies
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Fully Automated Postlumpectomy Breast Margin Assessment Utilizing Convolutional Neural Network Based Optical Coherence Tomography Image Classification Method.

Academic radiology Jul 17, 2019
BACKGROUND: The purpose of this study was to develop a deep learning classification approach to distinguish cancerous from noncancerous regions within optical coherence tomography (OCT) images of breast tissue for potential use in an intraoperative s...
Humans Neural Networks, Computer Algorithms Mastectomy, Segmental Tomography, Optical Coherence Breast Postoperative Period Margins of Excision Female Breast Neoplasms Image Processing, Computer-Assisted Magnetic Resonance Imaging
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