AIMC Topic: Algorithms

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What Are the Applications and Limitations of Artificial Intelligence for Fracture Detection and Classification in Orthopaedic Trauma Imaging? A Systematic Review.

Clinical orthopaedics and related research Nov 1, 2019
BACKGROUND: Artificial-intelligence algorithms derive rules and patterns from large amounts of data to calculate the probabilities of various outcomes using new sets of similar data. In medicine, artificial intelligence (AI) has been applied primaril...
Humans Algorithms ROC Curve Artificial Intelligence Orthopedics Fractures, Bone Predictive Value of Tests
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CAESNet: Convolutional AutoEncoder based Semi-supervised Network for improving multiclass classification of endomicroscopic images.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: This article presents a novel method of semisupervised learning using convolutional autoencoders for optical endomicroscopic images. Optical endomicroscopy (OE) is a newly emerged biomedical imaging modality that can support real-time clin...
Barrett Esophagus Esophagoscopy Humans Supervised Machine Learning Algorithms Datasets as Topic Esophagus Diagnosis, Computer-Assisted Microscopy, Confocal
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Toward a clinical text encoder: pretraining for clinical natural language processing with applications to substance misuse.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: Our objective is to develop algorithms for encoding clinical text into representations that can be used for a variety of phenotyping tasks.
Information Storage and Retrieval Clinical Coding Substance-Related Disorders Datasets as Topic Algorithms Electronic Health Records Big Data Natural Language Processing Deep Learning Humans Neural Networks, Computer
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Clinician Perception of a Machine Learning-Based Early Warning System Designed to Predict Severe Sepsis and Septic Shock.

Critical care medicine Nov 1, 2019
OBJECTIVE: To assess clinician perceptions of a machine learning-based early warning system to predict severe sepsis and septic shock (Early Warning System 2.0).
Humans Prospective Studies Electronic Health Records Diagnosis, Computer-Assisted Machine Learning Algorithms Text Messaging Nursing Staff, Hospital Decision Support Systems, Clinical Practice Patterns, Nurses' Shock, Septic Hospitals, Teaching Practice Patterns, Physicians' Medical Staff, Hospital Attitude of Health Personnel Sepsis
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A learning-based framework for miRNA-disease association identification using neural networks.

Bioinformatics (Oxford, England) Nov 1, 2019
MOTIVATION: A microRNA (miRNA) is a type of non-coding RNA, which plays important roles in many biological processes. Lots of studies have shown that miRNAs are implicated in human diseases, indicating that miRNAs might be potential biomarkers for va...
Software Algorithms MicroRNAs Humans Neural Networks, Computer
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Artificial Intelligence and Applications in PM&R.

American journal of physical medicine & rehabilitation Nov 1, 2019
Artificial intelligence methods are being applied broadly in society and increasingly in health care and research. Machine learning, a subset of artificial intelligence, represents the study of algorithms that improve automatically with experience. T...
Machine Learning Algorithms Physical and Rehabilitation Medicine Humans Artificial Intelligence
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[Review of research on detection and tracking of minimally invasive surgical tools based on deep learning].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Oct 25, 2019
The application of minimally invasive surgical tool detection and tracking technology based on deep learning in minimally invasive surgery is currently a research hotspot. This paper firstly expounds the relevant technical content of the minimally in...
Minimally Invasive Surgical Procedures Algorithms Neural Networks, Computer Deep Learning
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[Classification of heart sound signals in congenital heart disease based on convolutional neural network].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Oct 25, 2019
Cardiac auscultation is the basic way for primary diagnosis and screening of congenital heart disease(CHD). A new classification algorithm of CHD based on convolution neural network was proposed for analysis and classification of CHD heart sounds in ...
Neural Networks, Computer Algorithms Sensitivity and Specificity Humans Heart Defects, Congenital Heart Sounds
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A convolutional neural network approach for IMRT dose distribution prediction in prostate cancer patients.

Journal of radiation research Oct 23, 2019
The purpose of the study was to compare a 3D convolutional neural network (CNN) with the conventional machine learning method for predicting intensity-modulated radiation therapy (IMRT) dose distribution using only contours in prostate cancer. In thi...
Dose-Response Relationship, Radiation Radiotherapy Dosage Radiotherapy, Intensity-Modulated Humans Male Prostatic Neoplasms Neural Networks, Computer Algorithms
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[An overview of validation methods based on the medical claims database].

Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi Oct 10, 2019
Medical claims database is an important source of data for studying the characteristics, and burden of diseases, to provide a basis for the development of policy on management. The database is usually used to identify patients through International C...
China Algorithms Humans International Classification of Diseases Databases, Factual Machine Learning
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