AIMC Topic: Algorithms

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Automated Measurements of Muscle Mass Using Deep Learning Can Predict Clinical Outcomes in Patients With Liver Disease.

The American journal of gastroenterology Aug 1, 2020
INTRODUCTION: There is increasing recognition of the central role of muscle mass in predicting clinical outcomes in patients with liver disease. Muscle size can be extracted from computed tomography (CT) scans, but clinical implementation will requir...
Fibrosis Michigan Tomography, X-Ray Computed Female Aged Young Adult Humans Algorithms Prospective Studies Adolescent Cohort Studies Adult Muscle, Skeletal Male Predictive Value of Tests Middle Aged Deep Learning
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Constructing co-occurrence network embeddings to assist association extraction for COVID-19 and other coronavirus infectious diseases.

Journal of the American Medical Informatics Association : JAMIA Aug 1, 2020
OBJECTIVE: As coronavirus disease 2019 (COVID-19) started its rapid emergence and gradually transformed into an unprecedented pandemic, the need for having a knowledge repository for the disease became crucial. To address this issue, a new COVID-19 m...
Algorithms ROC Curve Logistic Models Pneumonia, Viral Decision Trees Support Vector Machine Humans Bayes Theorem Neural Networks, Computer Coronavirus Infections Software Datasets as Topic Pandemics COVID-19
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An artificial intelligence approach to COVID-19 infection risk assessment in virtual visits: A case report.

Journal of the American Medical Informatics Association : JAMIA Aug 1, 2020
OBJECTIVE: In an effort to improve the efficiency of computer algorithms applied to screening for coronavirus disease 2019 (COVID-19) testing, we used natural language processing and artificial intelligence-based methods with unstructured patient dat...
South Carolina COVID-19 Testing Betacoronavirus Electronic Health Records Pneumonia, Viral Organizational Case Studies SARS-CoV-2 Clinical Laboratory Techniques Risk Assessment Deep Learning Artificial Intelligence Humans ROC Curve Pandemics Neural Networks, Computer Natural Language Processing COVID-19 Coronavirus Infections Algorithms Telemedicine
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[Machine learning in anesthesiology].

Der Anaesthesist Aug 1, 2020
The application of artificial intelligence (AI) is currently changing very different areas of life. Artificial intelligence involves the emulation of human behavior with the aid of methods from mathematics and informatics. Machine learning (ML) repre...
Neural Networks, Computer Artificial Intelligence Machine Learning Algorithms Precision Medicine Anesthesiology Humans
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Brief communication: Three errors and two problems in a recent paper: gazeNet: End-to-end eye-movement event detection with deep neural networks (Zemblys, Niehorster, and Holmqvist, 2019).

Behavior research methods Aug 1, 2020
Zemblys et al. (Behavior Research Methods, 51(2), 840-864, 2019) reported on a method for the classification of eye-movements ("gazeNet"). I have found three errors and two problems with that paper that are explained herein. Error 1: The gazeNet clas...
Saccades Algorithms Communication Eye Movements Humans Neural Networks, Computer
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Machine Learning Analysis Reveals Novel Neuroimaging and Clinical Signatures of Frailty in HIV.

Journal of acquired immune deficiency syndromes (1999) Aug 1, 2020
BACKGROUND: Frailty is an important clinical concern for the aging population of people living with HIV (PLWH). The objective of this study was to identify the combination of risk features that distinguish frail from nonfrail individuals.
Humans Machine Learning Algorithms HIV Infections United States Frailty CD4 Lymphocyte Count Female Male Aging Middle Aged Anti-Retroviral Agents Psychomotor Performance Neuroimaging
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Next-Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Algorithms.

Molecular imaging and biology Aug 1, 2020
PURPOSE: Considerable progress has been made in the assessment and management of non-small cell lung cancer (NSCLC) patients based on mutation status in the epidermal growth factor receptor (EGFR) and Kirsten rat sarcoma viral oncogene (KRAS). At the...
ErbB Receptors Proto-Oncogene Proteins p21(ras) Positron-Emission Tomography High-Throughput Nucleotide Sequencing Multivariate Analysis Humans Machine Learning Algorithms Female Aged Male Lung Neoplasms Genomics Carcinoma, Non-Small-Cell Lung Multimodal Imaging Area Under Curve Mutation
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Combat medic testing of a novel monitoring capability for early detection of hemorrhage.

The journal of trauma and acute care surgery Aug 1, 2020
BACKGROUND: Current out-of-hospital protocols to determine hemorrhagic shock in civilian trauma systems rely on standard vital signs with military guidelines relying on heart rate and strength of the radial pulse on palpation, all of which have prove...
Humans Machine Learning Vital Signs Blood Volume Algorithms Military Medicine Hemorrhage War-Related Injuries Military Personnel Early Diagnosis
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Classification of biomass reactions and predictions of reaction energies through machine learning.

The Journal of chemical physics Jul 28, 2020
Elementary steps and intermediate species of linearly structured biomass compounds are studied. Specifically, possible intermediates and elementary reactions of 15 key biomass compounds and 33 small molecules are obtained from a recursive bond-breaki...
Molecular Structure Machine Learning Discriminant Analysis Algorithms Biomass
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Assessing the Accuracy of a Deep Learning Method to Risk Stratify Indeterminate Pulmonary Nodules.

American journal of respiratory and critical care medicine Jul 15, 2020
The management of indeterminate pulmonary nodules (IPNs) remains challenging, resulting in invasive procedures and delays in diagnosis and treatment. Strategies to decrease the rate of unnecessary invasive procedures and optimize surveillance regime...
Algorithms Lung Neoplasms Tomography, X-Ray Computed Humans United States Neural Networks, Computer Deep Learning Multiple Pulmonary Nodules Radiographic Image Interpretation, Computer-Assisted
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