AIMC Topic: Recurrence

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Robotic redo Heller myotomy: how I do it?

Langenbeck's archives of surgery May 18, 2022
BACKGROUND: Despite the high success rate associated with Heller myotomy in the treatment of primary achalasia, symptom persistence or relapse occurs in approximately 10-20% of patients. Unfortunately, the ideal treatment after failed myotomy is not ...
Humans Recurrence Fundoplication Esophageal Achalasia Heller Myotomy Treatment Outcome Robotics Laparoscopy Robotic Surgical Procedures
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Deep Learning Analysis of Histologic Images from Intestinal Specimen Reveals Adipocyte Shrinkage and Mast Cell Infiltration to Predict Postoperative Crohn Disease.

The American journal of pathology Mar 28, 2022
Most patients with Crohn disease (CD), a chronic inflammatory gastrointestinal disease, experience recurrence despite treatment, including surgical resection. However, methods for predicting recurrence remain unclear. This study aimed to predict post...
Adipocytes Recurrence Ileum Deep Learning Intestines Mast Cells Crohn Disease Humans Artificial Intelligence Colon
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Predicting Atrial Fibrillation Recurrence by Combining Population Data and Virtual Cohorts of Patient-Specific Left Atrial Models.

Circulation. Arrhythmia and electrophysiology Jan 28, 2022
BACKGROUND: Current ablation therapy for atrial fibrillation is suboptimal, and long-term response is challenging to predict. Clinical trials identify bedside properties that provide only modest prediction of long-term response in populations, while ...
Magnetic Resonance Imaging Action Potentials Electrocardiography, Ambulatory Fibrosis Risk Factors Risk Assessment Time Factors Treatment Outcome Atrial Function, Left Models, Cardiovascular Patient-Specific Modeling Atrial Remodeling Atrial Fibrillation Heart Rate Catheter Ablation Recurrence Humans Machine Learning
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Robotic transabdominal retromuscular rectus diastasis (r-TARRD) repair: a new approach.

Hernia : the journal of hernias and abdominal wall surgery Jan 4, 2022
PURPOSE: The aim of this study is to present our innovative robotic approach for the treatment of rectus diastasis with concurrent primary or incisional ventral hernias.
Robotic Surgical Procedures Adult Recurrence Middle Aged Surgical Mesh Robotics Herniorrhaphy Laparoscopy Hernia, Ventral Humans Retrospective Studies Aged
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Blood Pressure Model Based on Hybrid Feature Convolution Neural Network in Promoting Rehabilitation of Patients with Hypertensive Intracerebral Hemorrhage.

Computational and mathematical methods in medicine Dec 7, 2021
OBJECTIVE: Accurate prediction of the rise of blood pressure is essential for the hypertensive intracerebral hemorrhage. This study uses the hybrid feature convolution neural network to establish the blood pressure model instead of the traditional me...
Intracranial Hemorrhage, Hypertensive Male Algorithms Antihypertensive Agents Middle Aged Humans Computational Biology Pulse Wave Analysis Neural Networks, Computer Female Blood Pressure Machine Learning Recurrence Aged Models, Cardiovascular Adult
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Incorporating artificial intelligence in urology: Supervised machine learning algorithms demonstrate comparative advantage over nomograms in predicting biochemical recurrence after prostatectomy.

The Prostate Dec 2, 2021
OBJECTIVE: After radical prostatectomy (RP), one-third of patients will experience biochemical recurrence (BCR), which is associated with subsequent metastasis and cancer-specific mortality. We employed machine learning (ML) algorithms to predict BCR...
Neoplasm Staging Supervised Machine Learning Neoplasm Metastasis Prostatectomy Recurrence Humans Comparative Effectiveness Research Artificial Intelligence Nomograms Algorithms Regression Analysis Male Biomarkers Predictive Value of Tests Middle Aged Computer Simulation Prostatic Neoplasms Risk Assessment Prognosis Reproducibility of Results
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Ninety-day morbidity of robot-assisted redo surgery for recurrent rectal prolapse, mesh erosion and pelvic pain: lessons learned from 9 years' experience in a tertiary referral centre.

Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland Nov 16, 2021
AIM: With increasing follow-up of patients treated with minimally invasive ventral mesh rectopexy (VMR) more redo surgery can be expected for recurrent rectal prolapse, mesh erosion and pelvic pain. The aim of this study is to evaluate the 90-day mor...
Humans Pelvic Pain Retrospective Studies Postoperative Complications Treatment Outcome Morbidity Recurrence Surgical Mesh Rectal Prolapse Robotics Laparoscopy Tertiary Care Centers Rectum
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How to predict relapse in leukemia using time series data: A comparative in silico study.

PloS one Nov 15, 2021
Risk stratification and treatment decisions for leukemia patients are regularly based on clinical markers determined at diagnosis, while measurements on system dynamics are often neglected. However, there is increasing evidence that linking quantitat...
Computer Simulation Leukemia, Myeloid, Acute Recurrence Leukemia, Myelogenous, Chronic, BCR-ABL Positive Humans Neural Networks, Computer
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Personalized application of machine learning algorithms to identify pediatric patients at risk for recurrent ureteropelvic junction obstruction after dismembered pyeloplasty.

World journal of urology Nov 13, 2021
PURPOSE: To develop a model that predicts whether a child will develop a recurrent obstruction after pyeloplasty, determine their survival risk score, and expected time to re-intervention using machine learning (ML).
Ureter Kidney Pelvis Ureteral Obstruction Urologic Surgical Procedures Humans Child Laparoscopy Machine Learning Models, Biological Recurrence Retrospective Studies Risk Assessment Adolescent
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Deep Learning-Based Recurrence Prediction of Atrial Fibrillation After Catheter Ablation.

Circulation journal : official journal of the Japanese Circulation Society Oct 8, 2021
BACKGROUND: Radiofrequency catheter ablation (RFCA) is an effective therapy for atrial fibrillation (AF). However, it the problem of AF recurrence remains. This study investigates whether a deep convolutional neural network (CNN) can accurately predi...
Catheter Ablation Recurrence Humans Deep Learning Treatment Outcome Atrial Fibrillation
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