AIMC Topic: Middle Aged

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Diagnostic Accuracy and Failure Mode Analysis of a Deep Learning Algorithm for the Detection of Intracranial Hemorrhage.

Journal of the American College of Radiology : JACR Apr 3, 2021
OBJECTIVE: To determine the institutional diagnostic accuracy of an artificial intelligence (AI) decision support systems (DSS), Aidoc, in diagnosing intracranial hemorrhage (ICH) on noncontrast head CTs and to assess the potential generalizability o...
Algorithms Retrospective Studies Female Aged Aged, 80 and over Adult Male Middle Aged Deep Learning Intracranial Hemorrhages Humans Artificial Intelligence
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Machine Learning-Based Multiparametric Magnetic Resonance Imaging Radiomics for Prediction of H3K27M Mutation in Midline Gliomas.

World neurosurgery Apr 2, 2021
OBJECTIVE: H3K27M mutation in gliomas has prognostic implications. Previous magnetic resonance imaging (MRI) studies have reported variable rates of tumoral enhancement, necrotic changes, and peritumoral edema in H3K27M-mutant gliomas, with no distin...
Humans Machine Learning Algorithms Female Male Middle Aged Adolescent Cohort Studies Child Reproducibility of Results Young Adult Adult Sensitivity and Specificity Brain Neoplasms ROC Curve Area Under Curve Image Processing, Computer-Assisted Mutation Glioma Histones Magnetic Resonance Imaging Predictive Value of Tests
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Derivation and validation of a machine learning risk score using biomarker and electronic patient data to predict progression of diabetic kidney disease.

Diabetologia Apr 2, 2021
AIM: Predicting progression in diabetic kidney disease (DKD) is critical to improving outcomes. We sought to develop/validate a machine-learned, prognostic risk score (KidneyIntelX™) combining electronic health records (EHR) and biomarkers.
Female Risk Factors Aged Aged, 80 and over Young Adult Humans Machine Learning Biomarkers Prognosis Diabetic Nephropathies Adult Electronic Health Records United States Glomerular Filtration Rate Male Kidney Function Tests Predictive Value of Tests Middle Aged Disease Progression Cohort Studies
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The Use of Artificial Neural Networks to Determine In-Hospital Mortality After Coronary Artery Bypass Surgery.

Journal of cardiothoracic and vascular anesthesia Apr 1, 2021
OBJECTIVES: The aim of this study was to present an artificial neural network (ANN) model for the accurate estimation of in-hospital mortality and to demonstrate the validity of the model with real data and a comparison with conventional multiple lin...
Middle Aged Hospital Mortality Coronary Artery Bypass Retrospective Studies Female Risk Factors Aged Male Humans Neural Networks, Computer
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Development and Assessment of an Artificial Intelligence-Based Tool for Skin Condition Diagnosis by Primary Care Physicians and Nurse Practitioners in Teledermatology Practices.

JAMA network open Apr 1, 2021
IMPORTANCE: Most dermatologic cases are initially evaluated by nondermatologists such as primary care physicians (PCPs) or nurse practitioners (NPs).
Humans Artificial Intelligence Female Adult Male Middle Aged Diagnosis, Computer-Assisted Nurse Practitioners Skin Diseases Telemedicine Dermatology Referral and Consultation Physicians, Primary Care
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Predictors of 30-Day Mortality Among Dutch Patients Undergoing Colorectal Cancer Surgery, 2011-2016.

JAMA network open Apr 1, 2021
IMPORTANCE: Quality improvement programs for colorectal cancer surgery have been introduced with benchmarking based on quality indicators, such as mortality. Detailed (pre)operative characteristics may offer relevant information for proper case-mix c...
Multivariate Analysis Mortality Laparoscopy Myocardial Infarction Netherlands Patient Readmission Colectomy Logistic Models Hypertension Support Vector Machine Area Under Curve Risk Factors Aged Aged, 80 and over Pulmonary Disease, Chronic Obstructive Asthma Colorectal Neoplasms Male Middle Aged Comorbidity Length of Stay Humans Machine Learning Intensive Care Units Female
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Development and Validation of a Machine Learning Model to Estimate Bacterial Sepsis Among Immunocompromised Recipients of Stem Cell Transplant.

JAMA network open Apr 1, 2021
IMPORTANCE: Sepsis disproportionately affects recipients of allogeneic hematopoietic cell transplant (allo-HCT), and timely detection is crucial. However, the atypical presentation of sepsis within this population makes detection challenging, and exi...
Immunocompetence Risk Assessment Sepsis ROC Curve Hematopoietic Stem Cell Transplantation Random Allocation Humans Machine Learning Decision Support Techniques Retrospective Studies Female Adult Male Middle Aged
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Machine learning methods to predict mechanical ventilation and mortality in patients with COVID-19.

PloS one Apr 1, 2021
BACKGROUND: The Coronavirus disease 2019 (COVID-19) pandemic has affected millions of people across the globe. It is associated with a high mortality rate and has created a global crisis by straining medical resources worldwide.
Respiration, Artificial Hospital Mortality Emergency Service, Hospital Ventilators, Mechanical Retrospective Studies Female Aged Humans Male Machine Learning Middle Aged Pandemics COVID-19
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Ultra-high-frequency ultrasound and machine learning approaches for the differential diagnosis of melanocytic lesions.

Experimental dermatology Mar 31, 2021
Malignant melanoma (MM) is one of the most dangerous skin cancers. The aim of this study was to present a potential new method for the differential diagnosis of MM from melanocytic naevi (MN). We examined 20 MM and 19 MN with a new ultra-high-frequen...
Middle Aged Ultrasonography Melanoma, Cutaneous Malignant Aged Aged, 80 and over Adult Sensitivity and Specificity Humans Male Machine Learning Female Melanoma Skin Neoplasms
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Development and performance assessment of novel machine learning models to predict pneumonia after liver transplantation.

Respiratory research Mar 31, 2021
BACKGROUND: Pneumonia is the most frequently encountered postoperative pulmonary complications (PPC) after orthotopic liver transplantation (OLT), which cause high morbidity and mortality rates. We aimed to develop a model to predict postoperative pn...
Treatment Outcome Support Vector Machine Pneumonia Predictive Value of Tests Liver Transplantation Adult Humans Male Middle Aged Machine Learning Risk Assessment Retrospective Studies Deep Learning Electronic Health Records Female Risk Factors
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