AIMC Topic: Diagnosis, Computer-Assisted

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Robot Diagnosis Test for Egocentric and Allocentric Hemineglect.

Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists Jun 1, 2019
OBJECTIVE: Patients with hemineglect fail to respond to egocentric stimuli or allocentric parts of stimuli contralateral to the brain lesion. The clinical diagnosis of hemineglect mainly involves evaluation of the egocentric form, while less sensitiv...
Sensitivity and Specificity Male Middle Aged Case-Control Studies Reproducibility of Results Aged Aged, 80 and over Adult Humans Attention Female Functional Laterality Neuropsychological Tests Space Perception Perceptual Disorders Diagnosis, Computer-Assisted Robotics Stroke Reference Values
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Big data and machine learning algorithms for health-care delivery.

The Lancet. Oncology May 1, 2019
Analysis of big data by machine learning offers considerable advantages for assimilation and evaluation of large amounts of complex health-care data. However, to effectively use machine learning tools in health care, several limitations must be addre...
Therapy, Computer-Assisted Health Services Research Delivery of Health Care, Integrated Diagnosis, Computer-Assisted Big Data Data Mining Medical Oncology Humans Neural Networks, Computer Machine Learning Neoplasms
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Digital pathology and artificial intelligence.

The Lancet. Oncology May 1, 2019
In modern clinical practice, digital pathology has a crucial role and is increasingly a technological requirement in the scientific laboratory environment. The advent of whole-slide imaging, availability of faster networks, and cheaper storage soluti...
Humans Reproducibility of Results Neoplasms Diagnosis, Computer-Assisted Artificial Intelligence Prognosis Pathology Predictive Value of Tests Workflow Microscopy Image Interpretation, Computer-Assisted
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Ethical challenges of machine learning and deep learning algorithms.

The Lancet. Oncology May 1, 2019
Clinical Decision-Making Reproducibility of Results Diagnosis, Computer-Assisted Deep Learning Therapy, Computer-Assisted Decision Support Systems, Clinical Humans Physician's Role Predictive Value of Tests Machine Learning Patient Safety
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Ascent of machine learning in medicine.

Nature materials May 1, 2019
Prognosis Drug Discovery Reproducibility of Results Diagnosis, Computer-Assisted Diabetic Retinopathy Diagnostic Errors Humans Genomics Neoplasms Machine Learning Technology, Pharmaceutical Computational Biology Algorithms Proteomics Epidemiology Biomarkers Drug Development
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How to develop machine learning models for healthcare.

Nature materials May 1, 2019
Reproducibility of Results Diagnostic Errors Cardiovascular Diseases Echocardiography Diabetic Retinopathy Machine Learning Algorithms Prognosis Predictive Value of Tests Radiotherapy Planning, Computer-Assisted Medical Informatics Drug Discovery Diagnosis, Computer-Assisted Image Processing, Computer-Assisted Models, Theoretical Humans
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Leveraging machine vision in cell-based diagnostics to do more with less.

Nature materials May 1, 2019
Humans Neural Networks, Computer Single-Cell Analysis Image Processing, Computer-Assisted Diagnostic Imaging Biomarkers Diagnostic Techniques and Procedures Biopsy Precision Medicine Prognosis Machine Learning Cytological Techniques Diagnosis, Computer-Assisted Software Microfluidics Algorithms Phenotype
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A new deep learning model for assisted diagnosis on electrocardiogram.

Mathematical biosciences and engineering : MBE Mar 22, 2019
In order to enhance the accuracy of computer aided electrocardiogram analysis, we propose a deep learning model called CBRNN to assist diagnosis on electrocardiogram for clinical medical service. It combines two sub networks which are convolutional n...
Skin Diagnosis, Computer-Assisted Humans Medical Informatics Deep Learning Medical Errors Models, Cardiovascular Electrocardiography Neural Networks, Computer Cardiology Machine Learning Signal Processing, Computer-Assisted Algorithms
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Detection of Left Ventricular Hypertrophy Using Bayesian Additive Regression Trees: The MESA.

Journal of the American Heart Association Mar 5, 2019
Background We developed a new left ventricular hypertrophy ( LVH ) criterion using a machine-learning technique called Bayesian Additive Regression Trees ( BART ). Methods and Results This analysis included 4714 participants from MESA (Multi-Ethnic S...
Aged, 80 and over Humans Decision Trees Diagnosis, Computer-Assisted Male Bayes Theorem Machine Learning Predictive Value of Tests United States Ventricular Function, Left Ventricular Remodeling Female Electrocardiography Middle Aged Hypertrophy, Left Ventricular Reproducibility of Results Magnetic Resonance Imaging Aged
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[AI Application on the Pathology-From Diagnosis Assisting Tool to Prediction Tool].

Gan to kagaku ryoho. Cancer & chemotherapy Mar 1, 2019
The use of AI in pathology has just begun. Since the pathological image contains a lot of information, it is a situation seeking what kind of contribution of pathology can be made by AI. In addition to outlining its flow, we outline our approach by d...
Artificial Intelligence Humans Diagnosis, Computer-Assisted
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