AIMC Topic: Aged, 80 and over
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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...
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.
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...
Risk Factors
Aged
Aged, 80 and over
Pulmonary Disease, Chronic Obstructive
Asthma
Humans
Machine Learning
Intensive Care Units
Female
Logistic Models
Hypertension
Support Vector Machine
Area Under Curve
Laparoscopy
Colorectal Neoplasms
Male
Middle Aged
Comorbidity
Length of Stay
Multivariate Analysis
Myocardial Infarction
Mortality
Netherlands
Patient Readmission
Colectomy
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...
Comparison of short-term outcomes between transthoracic and robot-assisted transmediastinal radical surgery for esophageal cancer: a prospective study.
BMC cancer
Mar 31, 2021
BACKGROUND: The present study aimed to assess the lower invasiveness of robot-assisted transmediastinal radical esophagectomy by prospectively comparing this procedure with transthoracic esophagectomy in terms of perioperative outcomes, serum cytokin...
Artificial intelligence and leukocyte epigenomics: Evaluation and prediction of late-onset Alzheimer's disease.
PloS one
Mar 31, 2021
We evaluated the utility of leucocyte epigenomic-biomarkers for Alzheimer's Disease (AD) detection and elucidates its molecular pathogeneses. Genome-wide DNA methylation analysis was performed using the Infinium MethylationEPIC BeadChip array in 24 l...
Deep Learning-based Angiogram Generation Model for Cerebral Angiography without Misregistration Artifacts.
Radiology
Mar 30, 2021
Background Digital subtraction angiography (DSA) generates an image by subtracting a mask image from a dynamic angiogram. However, patient movement-caused misregistration artifacts can result in unclear DSA images that interrupt procedures. Purpose T...
Machine learning-based analysis of alveolar and vascular injury in SARS-CoV-2 acute respiratory failure.
The Journal of pathology
Mar 30, 2021
Severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) pneumopathy is characterized by a complex clinical picture and heterogeneous pathological lesions, both involving alveolar and vascular components. The severity and distribution of morpholo...
An independent assessment of an artificial intelligence system for prostate cancer detection shows strong diagnostic accuracy.
Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc
Mar 29, 2021
Prostate cancer is a leading cause of morbidity and mortality for adult males in the US. The diagnosis of prostate carcinoma is usually made on prostate core needle biopsies obtained through a transrectal approach. These biopsies may account for a si...
Longitudinal diffusion MRI analysis using Segis-Net: A single-step deep-learning framework for simultaneous segmentation and registration.
NeuroImage
Mar 29, 2021
This work presents a single-step deep-learning framework for longitudinal image analysis, coined Segis-Net. To optimally exploit information available in longitudinal data, this method concurrently learns a multi-class segmentation and nonlinear regi...
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