AIMC Topic: Iatrogenic Disease

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Deep Learning-Based Real-Time Ureter Identification in Laparoscopic Colorectal Surgery.

Diseases of the colon and rectum Jul 3, 2024
BACKGROUND: Iatrogenic ureteral injury is a serious complication of abdominopelvic surgery. Identifying the ureters intraoperatively is essential to avoid iatrogenic ureteral injury. We developed a model that may minimize this complication.
Humans Neural Networks, Computer Algorithms Deep Learning Laparoscopy Colorectal Surgery Video Recording Ureter Intraoperative Complications Iatrogenic Disease
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Cohort profile for development of machine learning models to predict healthcare-related adverse events (Demeter): clinical objectives, data requirements for modelling and overview of data set for 2016-2018.

BMJ open Aug 17, 2023
PURPOSE: In-hospital health-related adverse events (HAEs) are a major concern for hospitals worldwide. In high-income countries, approximately 1 in 10 patients experience HAEs associated with their hospital stay. Estimating the risk of an HAE at the ...
Risk Assessment Length of Stay Cohort Studies Datasets as Topic Iatrogenic Disease Machine Learning Computer Simulation Female Male Humans
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Development and Validation of a Machine Learning Model to Predict Near-Term Risk of Iatrogenic Hypoglycemia in Hospitalized Patients.

JAMA network open Jan 4, 2021
IMPORTANCE: Accurate clinical decision support tools are needed to identify patients at risk for iatrogenic hypoglycemia, a potentially serious adverse event, throughout hospitalization.
Male Middle Aged Risk Assessment Machine Learning Diagnosis, Computer-Assisted Blood Glucose Retrospective Studies Humans Predictive Value of Tests Female Hypoglycemia Hospitalization Iatrogenic Disease Aged
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Machine Learning Offers Exciting Potential for Predicting Postprocedural Outcomes: A Framework for Developing Random Forest Models in IR.

Journal of vascular and interventional radiology : JVIR May 4, 2020
PURPOSE: To demonstrate that random forest models trained on a large national sample can accurately predict relevant outcomes and may ultimately contribute to future clinical decision support tools in IR.
Child, Preschool Child Hospital Mortality Risk Assessment Female Iatrogenic Disease United States Infant Young Adult Infant, Newborn Pneumothorax Length of Stay Inpatients Humans Adult Risk Factors Uterine Artery Embolization Adolescent Data Mining Machine Learning Male Aged Time Factors Radiography, Interventional Databases, Factual Middle Aged Aged, 80 and over Image-Guided Biopsy Retrospective Studies Portasystemic Shunt, Transjugular Intrahepatic
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Semantic Modeling for Exposomics with Exploratory Evaluation in Clinical Context.

Journal of healthcare engineering Aug 30, 2017
Exposome is a critical dimension in the precision medicine paradigm. Effective representation of exposomics knowledge is instrumental to melding nongenetic factors into data analytics for clinical research. There is still limited work in (1) modeling...
Environmental Exposure Semantics Biological Ontologies Unified Medical Language System Iatrogenic Disease Humans Pilot Projects
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Detecting hospital-acquired infections: A document classification approach using support vector machines and gradient tree boosting.

Health informatics journal Aug 4, 2016
Hospital-acquired infections pose a significant risk to patient health, while their surveillance is an additional workload for hospital staff. Our overall aim is to build a surveillance system that reliably detects all patient records that potentiall...
Infections Iatrogenic Disease Machine Learning Humans Data Analysis Electronic Health Records Mass Screening Support Vector Machine
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Iatrogenic Uterine Diverticulum in Pregnancy After Robotic-assisted Myomectomy.

Journal of minimally invasive gynecology Mar 28, 2015
Uterine diverticula are rare outpouchings of the uterus associated with abnormal uterine bleeding, pelvic pain, dysmenorrhea, and adverse obstetric events. At the time of cesarean delivery at 36 5/7 weeks' gestation during the patient's first pregnan...
Uterine Myomectomy Adult Humans Diverticulum Pregnancy Outcome Pregnancy Iatrogenic Disease Robotics Female Uterus Cesarean Section Gestational Age
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DWI-based deep learning radiomics nomogram for predicting the impaired quality of life in patients with unruptured intracranial aneurysm developing new iatrogenic cerebral infarcts following stent placement: a multicenter cohort study.

Neurosurgical review Jun 13, 2025
This study developed a DWI-based radiomics nomogram to predict impaired health-related quality of life (HRQOL) in patients with unruptured intracranial aneurysms after stent placement, focusing on those who developed new iatrogenic cerebral infarct (...
Female Aged Adult Radiomics Male Humans Stents Middle Aged Cerebral Infarction Quality of Life Intracranial Aneurysm Deep Learning Iatrogenic Disease Cohort Studies Diffusion Magnetic Resonance Imaging Nomograms
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Utilizing large language models for detecting hospital-acquired conditions: an empirical study on pulmonary embolism.

Journal of the American Medical Informatics Association : JAMIA May 1, 2025
OBJECTIVES: Adverse event detection from Electronic Medical Records (EMRs) is challenging due to the low incidence of the event, variability in clinical documentation, and the complexity of data formats. Pulmonary embolism as an adverse event (PEAE) ...
Alberta Large Language Models Iatrogenic Disease Aged, 80 and over Young Adult Adult Sensitivity and Specificity Humans Electronic Health Records Male Female Middle Aged Aged Adolescent Natural Language Processing Pulmonary Embolism
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Predictive analytics for early detection of hospital-acquired complications: An artificial intelligence approach.

Health information management : journal of the Health Information Management Association of Australia May 1, 2025
BACKGROUND: Hospital-acquired complications (HACs) have an adverse impact on patient recovery by impeding their path to full recovery and increasing healthcare costs.
Length of Stay Logistic Models Operative Time Decision Trees Early Diagnosis Male Middle Aged Risk Assessment Severity of Illness Index Cross Infection Western Australia Iatrogenic Disease Predictive Learning Models Humans Artificial Intelligence Machine Learning Retrospective Studies Intensive Care Units Female Aged Aged, 80 and over Adult
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