AIMC Topic: Aged, 80 and over
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Automated laparoscopic colorectal surgery workflow recognition using artificial intelligence: Experimental research.
International journal of surgery (London, England)
May 12, 2020
BACKGROUND: Identifying laparoscopic surgical videos using artificial intelligence (AI) facilitates the automation of several currently time-consuming manual processes, including video analysis, indexing, and video-based skill assessment. This study ...
Assessment of associations between clinical and immune microenvironmental factors and tumor mutation burden in resected nonsmall cell lung cancer by applying machine learning to whole-slide images.
Cancer medicine
May 12, 2020
BACKGROUND: It is unclear whether clinical factors and immune microenvironment (IME) factors are associated with tumor mutation burden (TMB) in patients with nonsmall cell lung cancer (NSCLC).
Exome Sequencing
Lung Neoplasms
Aged, 80 and over
Keratin-19
B7-H1 Antigen
Humans
Lymphocytes, Tumor-Infiltrating
Adult
Ex-Smokers
Antigens, Neoplasm
Machine Learning
Regression Analysis
Non-Smokers
Tumor Microenvironment
Adenocarcinoma
Female
Mutation
Male
Carcinoma, Squamous Cell
Carcinoma, Non-Small-Cell Lung
Forkhead Transcription Factors
Middle Aged
Aged
Carcinoembryonic Antigen
Smokers
Prediction of mortality from 12-lead electrocardiogram voltage data using a deep neural network.
Nature medicine
May 11, 2020
The electrocardiogram (ECG) is a widely used medical test, consisting of voltage versus time traces collected from surface recordings over the heart. Here we hypothesized that a deep neural network (DNN) can predict an important future clinical event...
CT-based radiomic features to predict pathological response in rectal cancer: A retrospective cohort study.
Journal of medical imaging and radiation oncology
May 9, 2020
INTRODUCTION: Innovative biomarkers to predict treatment response in rectal cancer would be helpful in optimizing personalized treatment approaches. In this study, we aimed to develop and validate a CT-based radiomic imaging biomarker to predict path...
COVID-19 on Chest Radiographs: A Multireader Evaluation of an Artificial Intelligence System.
Radiology
May 8, 2020
Background Chest radiography may play an important role in triage for coronavirus disease 2019 (COVID-19), particularly in low-resource settings. Purpose To evaluate the performance of an artificial intelligence (AI) system for detection of COVID-19 ...
A Machine Learning Approach to Management of Heart Failure Populations.
JACC. Heart failure
May 6, 2020
BACKGROUND: Heart failure is a prevalent, costly disease for which new value-based payment models demand optimized population management strategies.
Prediction of early neurological deterioration in acute minor ischemic stroke by machine learning algorithms.
Clinical neurology and neurosurgery
May 5, 2020
OBJECTIVES: A significant proportion of patients with acute minor stroke have unfavorable functional outcome due to early neurological deterioration (END). The purpose of this study was to evaluate the applicability of machine learning algorithms to ...
Diagnosis of Coronavirus Disease 2019 (COVID-19) With Structured Latent Multi-View Representation Learning.
IEEE transactions on medical imaging
May 5, 2020
Recently, the outbreak of Coronavirus Disease 2019 (COVID-19) has spread rapidly across the world. Due to the large number of infected patients and heavy labor for doctors, computer-aided diagnosis with machine learning algorithm is urgently needed, ...
Prediction of chronological and biological age from laboratory data.
Aging
May 5, 2020
Aging has pronounced effects on blood laboratory biomarkers used in the clinic. Prior studies have largely investigated one biomarker or population at a time, limiting a comprehensive view of biomarker variation and aging across different populations...
Knowledge Graph-Enabled Cancer Data Analytics.
IEEE journal of biomedical and health informatics
May 4, 2020
Cancer registries collect unstructured and structured cancer data for surveillance purposes which provide important insights regarding cancer characteristics, treatments, and outcomes. Cancer registry data typically (1) categorize each reportable can...
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