AIMC Topic: Preoperative Period

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Preoperative prediction of textbook outcome in intrahepatic cholangiocarcinoma by interpretable machine learning: A multicenter cohort study.

World journal of gastroenterology Mar 21, 2025
BACKGROUND: To investigate the preoperative factors influencing textbook outcomes (TO) in Intrahepatic cholangiocarcinoma (ICC) patients and evaluate the feasibility of an interpretable machine learning model for preoperative prediction of TO, we dev...
Bile Duct Neoplasms Preoperative Period Kaplan-Meier Estimate Cholangiocarcinoma China Treatment Outcome Predictive Value of Tests Humans Feasibility Studies Machine Learning Hepatectomy Algorithms Prognosis Retrospective Studies Female Aged Adult Male Middle Aged
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Preoperative kidney tumor risk estimation with AI: From logistic regression to transformer.

PloS one Jan 1, 2025
We consider the problem of renal mass risk classification to support doctors in adjuvant treatment decisions following nephrectomy. Recommendation of adjuvant therapy based on the mass appearance poses two major challenges: first, morphologic pattern...
Humans Middle Aged Risk Assessment Logistic Models Kidney Neoplasms Artificial Intelligence Preoperative Period Prognosis Nephrectomy Female Aged Male
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Artificial neural network prediction of same-day discharge following primary total knee arthroplasty based on preoperative and intraoperative variables.

The bone & joint journal Aug 1, 2021
AIMS: This study used an artificial neural network (ANN) model to determine the most important pre- and perioperative variables to predict same-day discharge in patients undergoing total knee arthroplasty (TKA).
Humans Neural Networks, Computer Forecasting Patient Discharge Female Aged Arthroplasty, Replacement, Knee Male Ambulatory Surgical Procedures Middle Aged Preoperative Period Intraoperative Period Osteoarthritis, Knee
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Convolutional Neural Network Models for Automatic Preoperative Severity Assessment in Unilateral Cleft Lip.

Plastic and reconstructive surgery Jul 1, 2021
BACKGROUND: Despite the wide range of cleft lip morphology, consistent scales to categorize preoperative severity do not exist. Machine learning has been used to increase accuracy and efficiency in detection and rating of multiple conditions, yet it ...
Remote Consultation Automated Facial Recognition Deep Learning Datasets as Topic Image Processing, Computer-Assisted Preoperative Period Humans Mobile Applications Cleft Lip Clinical Decision-Making Anatomic Landmarks Severity of Illness Index Feasibility Studies Photography Counseling Rhinoplasty Nose
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Turning Back the Clock: Artificial Intelligence Recognition of Age Reduction after Face-Lift Surgery Correlates with Patient Satisfaction.

Plastic and reconstructive surgery Jul 1, 2021
BACKGROUND: Patients desire face-lifting procedures primarily to appear younger, more refreshed, and attractive. Because there are few objective studies assessing the success of face-lift surgery, the authors used artificial intelligence, in the form...
Deep Learning Image Processing, Computer-Assisted Treatment Outcome Follow-Up Studies Feasibility Studies Female Reproducibility of Results Aged Middle Aged Quality of Life Preoperative Period Rejuvenation Rhytidoplasty Patient Reported Outcome Measures Patient Satisfaction Automated Facial Recognition Face Postoperative Period Humans
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Utilizing Machine Learning Methods for Preoperative Prediction of Postsurgical Mortality and Intensive Care Unit Admission.

Annals of surgery Dec 1, 2020
OBJECTIVE: To compare the performance of machine learning models against the traditionally derived Combined Assessment of Risk Encountered in Surgery (CARES) model and the American Society of Anaesthesiologists-Physical Status (ASA-PS) in the predict...
Time Factors Prognosis Preoperative Period Retrospective Studies Intensive Care Units Middle Aged Female Humans Risk Assessment Hospitalization Machine Learning Aged Postoperative Complications Adult Male
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Can Machine-learning Algorithms Predict Early Revision TKA in the Danish Knee Arthroplasty Registry?

Clinical orthopaedics and related research Sep 1, 2020
BACKGROUND: Revision TKA is a serious adverse event with substantial consequences for the patient. As the demand for TKA rises, reducing the risk of revision TKA is becoming increasingly important. Predictive tools based on machine-learning algorithm...
Preoperative Period Humans Predictive Value of Tests Osteoarthritis, Knee Middle Aged Registries Knee Injuries Machine Learning Risk Assessment Body Weight Algorithms Postoperative Complications Arthroplasty, Replacement, Knee Female Age Factors Reoperation Risk Factors Denmark Aged Adult Male
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Machine Learning-Based Computational Models Derived From Large-Scale Radiographic-Radiomic Images Can Help Predict Adverse Histopathological Status of Gastric Cancer.

Clinical and translational gastroenterology Oct 1, 2019
INTRODUCTION: Adverse histopathological status (AHS) decreases outcomes of gastric cancer (GC). With the lack of a single factor with great reliability to preoperatively predict AHS, we developed a computational approach by integrating large-scale im...
Kaplan-Meier Estimate Humans Stomach Machine Learning Neoplasm Staging Computer Simulation Middle Aged Tomography, X-Ray Computed Follow-Up Studies Prognosis Prevalence Neoplasm Recurrence, Local Female Retrospective Studies Contrast Media Gastrectomy Image Processing, Computer-Assisted Reproducibility of Results Neoplasm Invasiveness Disease-Free Survival Stomach Neoplasms Preoperative Period Male
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Usefulness of Deep Learning Analysis for the Diagnosis of Malignancy in Intraductal Papillary Mucinous Neoplasms of the Pancreas.

Clinical and translational gastroenterology May 22, 2019
OBJECTIVES: Intraductal papillary mucinous neoplasms (IPMNs) are precursor lesions of pancreatic adenocarcinoma. Artificial intelligence (AI) is a mathematical concept whose implementation automates learning and recognizing data patterns. The aim of ...
Endosonography Pancreas Pancreatectomy Aged, 80 and over Preoperative Period Humans Deep Learning Adult Pancreatic Intraductal Neoplasms Retrospective Studies ROC Curve Male Female Image Processing, Computer-Assisted Middle Aged Aged Pancreatic Neoplasms Disease Progression Carcinoma, Pancreatic Ductal
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MySurgeryRisk: Development and Validation of a Machine-learning Risk Algorithm for Major Complications and Death After Surgery.

Annals of surgery Apr 1, 2019
OBJECTIVE: To accurately calculate the risk for postoperative complications and death after surgery in the preoperative period using machine-learning modeling of clinical data.
Preoperative Period Humans Machine Learning Algorithms Risk Assessment Postoperative Complications
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