AIMC Topic: Predictive Value of Tests
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Using a deep learning system in endoscopy for screening of early esophageal squamous cell carcinoma (with video).
Gastrointestinal endoscopy
Jul 11, 2019
BACKGROUND AND AIMS: Few artificial intelligence-based technologies have been developed to improve the efficiency of screening for esophageal squamous cell carcinoma (ESCC). Here, we developed and validated a novel system of computer-aided detection ...
Prediction of Aneurysm Stability Using a Machine Learning Model Based on PyRadiomics-Derived Morphological Features.
Stroke
Jul 10, 2019
Background and Purpose- Discrimination of the stability of intracranial aneurysms is critical for determining the treatment strategy, especially in small aneurysms. This study aims to evaluate the feasibility of applying machine learning for predicti...
Prediction of epileptic seizures with convolutional neural networks and functional near-infrared spectroscopy signals.
Computers in biology and medicine
Jul 10, 2019
There have been different efforts to predict epileptic seizures and most of them are based on the analysis of electroencephalography (EEG) signals; however, recent publications have suggested that functional Near-Infrared Spectroscopy (fNIRS), a rela...
Optical screening of hepatitis-B infected blood sera using optical technique and neural network classifier.
Photodiagnosis and photodynamic therapy
Jul 9, 2019
In this study we demonstrate the analysis of biochemical changes in the human blood sera infected with Hepatitis B virus (HBV) using Raman spectroscopy. In total, 120 diseased blood samples and 170 healthy blood samples, collected from Pakistan Atomi...
Predicting mechanical restraint of psychiatric inpatients by applying machine learning on electronic health data.
Acta psychiatrica Scandinavica
Jul 6, 2019
OBJECTIVE: Mechanical restraint (MR) is used to prevent patients from harming themselves or others during inpatient treatment. The objective of this study was to investigate whether incident MR occurring in the first 3Â days following admission could ...
Development and validation of three machine-learning models for predicting multiple organ failure in moderately severe and severe acute pancreatitis.
BMC gastroenterology
Jul 4, 2019
BACKGROUND: Multiple organ failure (MOF) is a serious complication of moderately severe (MASP) and severe acute pancreatitis (SAP). This study aimed to develop and assess three machine-learning models to predict MOF.
Artificial Intelligence Algorithms to Assess Hormonal Status From Tissue Microarrays in Patients With Breast Cancer.
JAMA network open
Jul 3, 2019
IMPORTANCE: Immunohistochemistry (IHC) is the most widely used assay for identification of molecular biomarkers. However, IHC is time consuming and costly, depends on tissue-handling protocols, and relies on pathologists' subjective interpretation. I...
Evaluation of an AI system for the automated detection of glaucoma from stereoscopic optic disc photographs: the European Optic Disc Assessment Study.
Eye (London, England)
Jul 2, 2019
OBJECTIVES: To evaluate the performance of a deep learning based Artificial Intelligence (AI) software for detection of glaucoma from stereoscopic optic disc photographs, and to compare this performance to the performance of a large cohort of ophthal...
Glaucoma, Open-Angle
Optometrists
ROC Curve
Europe
Predictive Value of Tests
Observer Variation
Optic Disk
Optic Nerve Diseases
False Positive Reactions
Photography
Ophthalmologists
Reproducibility of Results
Humans
Sensitivity and Specificity
Artificial Intelligence
Diagnosis, Computer-Assisted
Retrospective Studies
Deep Learning
Clinical Competence
CT texture analysis for the prediction of KRAS mutation status in colorectal cancer via a machine learning approach.
European journal of radiology
Jul 2, 2019
PURPOSE: This study aimed to investigate whether a machine learning-based computed tomography (CT) texture analysis could predict the mutation status of V-Ki-ras2 Kirsten rat sarcoma viral oncogene homolog (KRAS) in colorectal cancer.
Automatic recognition of different types of acute leukaemia in peripheral blood by image analysis.
Journal of clinical pathology
Jun 29, 2019
AIMS: Morphological differentiation among different blast cell lineages is a difficult task and there is a lack of automated analysers able to recognise these abnormal cells. This study aims to develop a machine learning approach to predict the diagn...
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