AIMC Topic: ROC Curve
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Diagnostic Accuracies of Laryngeal Diseases Using a Convolutional Neural Network-Based Image Classification System.
The Laryngoscope
May 17, 2021
OBJECTIVES/HYPOTHESIS: There may be an interobserver variation in the diagnosis of laryngeal disease based on laryngoscopic images according to clinical experience. Therefore, this study is aimed to perform computer-assisted diagnosis for common lary...
Detection of oedema on optical coherence tomography images using deep learning model trained on noisy clinical data.
Acta ophthalmologica
May 15, 2021
PURPOSE: To meet the demands imposed by the continuing growth of the Age-related macular degeneration (AMD) patient population, automation of follow-ups by detecting retinal oedema using deep learning might be a viable approach. However, preparing an...
Enhanced Evolutionary Feature Selection and Ensemble Method for Cardiovascular Disease Prediction.
Interdisciplinary sciences, computational life sciences
May 14, 2021
Cardiovascular Disease (CVD) is one among the main factors for the increase in mortality rate worldwide. The analysis and prediction of this disease is yet a highly formidable task in medical data analysis. Recent advancements in technology such as B...
Predicting nodal metastases in papillary thyroid carcinoma using artificial intelligence.
American journal of surgery
May 13, 2021
BACKGROUND: The presence of nodal metastases is important in the treatment of papillary thyroid carcinoma (PTC). We present our experience using a convolutional neural network (CNN) to predict the presence of nodal metastases in a series of PTC patie...
Prediction of premature all-cause mortality in patients receiving peritoneal dialysis using modified artificial neural networks.
Aging
May 13, 2021
Premature all-cause mortality is high in patients receiving peritoneal dialysis (PD). The accurate and early prediction of mortality is critical and difficult. Three prediction models, the logistic regression (LR) model, artificial neural network (AN...
Texture analysis of muscle MRI: machine learning-based classifications in idiopathic inflammatory myopathies.
Scientific reports
May 10, 2021
To develop a machine learning (ML) model that predicts disease groups or autoantibodies in patients with idiopathic inflammatory myopathies (IIMs) using muscle MRI radiomics features. Twenty-two patients with dermatomyositis (DM), 14 with amyopathic ...
Humans
Machine Learning
Retrospective Studies
Male
Middle Aged
ROC Curve
Magnetic Resonance Imaging
Female
Reproducibility of Results
Aged
Adult
Antibodies, Antinuclear
Antigens, Ly
Image Interpretation, Computer-Assisted
Muscles
Polymyositis
Urokinase-Type Plasminogen Activator
Diagnosis, Differential
Biopsy
Dermatomyositis
COVID-Classifier: an automated machine learning model to assist in the diagnosis of COVID-19 infection in chest X-ray images.
Scientific reports
May 10, 2021
Chest-X ray (CXR) radiography can be used as a first-line triage process for non-COVID-19 patients with pneumonia. However, the similarity between features of CXR images of COVID-19 and pneumonia caused by other infections makes the differential diag...
Development and Validation of Machine Learning Models to Predict Admission From Emergency Department to Inpatient and Intensive Care Units.
Annals of emergency medicine
May 8, 2021
STUDY OBJECTIVE: This study aimed to develop and validate 2 machine learning models that use historical and current-visit patient data from electronic health records to predict the probability of patient admission to either an inpatient unit or ICU a...
Drug repurposing for hyperlipidemia associated disorders: An integrative network biology and machine learning approach.
Computational biology and chemistry
May 7, 2021
Hyperlipidemia causes diseases like cardiovascular disease, cancer, Type II Diabetes and Alzheimer's disease. Drugs that specifically target HL associated diseases are required for treatment. 34 KEGG pathways targeted by lipid lowering drugs were use...
ai-corona: Radiologist-assistant deep learning framework for COVID-19 diagnosis in chest CT scans.
PloS one
May 7, 2021
The development of medical assisting tools based on artificial intelligence advances is essential in the global fight against COVID-19 outbreak and the future of medical systems. In this study, we introduce ai-corona, a radiologist-assistant deep lea...
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