AIMC Topic: Machine Learning

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Predicting Surgical Complications in Patients Undergoing Elective Adult Spinal Deformity Procedures Using Machine Learning.

Spine deformity Jan 1, 2018
STUDY DESIGN: Cross-sectional database study.
Forecasting Female Cross-Sectional Studies Humans Machine Learning Heart Diseases Venous Thromboembolism Spinal Curvatures Male Middle Aged Postoperative Complications
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Machine-Learning Prediction of Drug-Induced Cardiac Arrhythmia: Analysis of Gene Expression and Clustering.

Critical reviews in biomedical engineering Jan 1, 2018
A marked delay in the electrical repolarization of heart ventricles is characterized by prolongation of the Q-T wave (QT) interval on a surface electrocardiogram. Such a delay can lead to potentially life-threatening cardiac arrhythmia (torsades de p...
Signal Processing, Computer-Assisted Heart Drug Evaluation, Preclinical Electrocardiography Support Vector Machine Cluster Analysis Torsades de Pointes Female Animals Gene Expression Regulation Humans Reproducibility of Results Male Clinical Trials as Topic Gene Expression Profiling Sensitivity and Specificity Drug Design Machine Learning Heart Ventricles Mice False Positive Reactions Arrhythmias, Cardiac Rats MAP Kinase Signaling System
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Utilising Information of the Case Fee Catalogue to Enhance 30-Day Readmission Prediction in the German DRG System.

Studies in health technology and informatics Jan 1, 2018
Unplanned hospital readmissions are a burden to the healthcare system and to the patients. To lower the readmission rates, machine learning approaches can be used to create predictive models, with the intention to provide actionable information for c...
Hospitals ROC Curve Patient Readmission Germany Diagnosis-Related Groups Machine Learning Humans Forecasting Prognosis
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Intelligent Control for Human-Robot Cooperation in Orthopedics Surgery.

Advances in experimental medicine and biology Jan 1, 2018
Cooperation between surgeon and robot is one of the key technologies that limit the robot to be widely used in orthopedic clinics. In this study, the evolution of human-robot cooperation methods and the control strategies for typical human-robot coop...
Humans Robotic Surgical Procedures Machine Learning Motion Algorithms Orthopedic Procedures Fuzzy Logic
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Fine-Tuning Deep Learning by Crowd Participation.

IEEE pulse Jan 1, 2018
One of the major challenges currently facing researchers in applying deep learning (DL) models to medical image analysis is the limited amount of annotated data. Collecting such ground-truth annotations requires domain knowledge, cost, and time, maki...
Models, Theoretical Crowdsourcing Humans Machine Learning Image Processing, Computer-Assisted
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Imaging Intelligence: AI Is Transforming Medical Imaging Across the Imaging Spectrum.

IEEE pulse Jan 1, 2018
Artificial intelligence (AI) and machine learning (ML) have influenced medicine in myriad ways, and medical imaging is at the forefront of technological transformation. Recent advances in AI/ML fields have made an impact on imaging and image analysis...
Tomography Humans Artificial Intelligence Machine Learning Image Processing, Computer-Assisted
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Machine Learning in Health Care.

National Bureau of Economic Research bulletin on aging and health Jan 1, 2018
Unnecessary Procedures Decision Making, Computer-Assisted Myocardial Infarction Cost-Benefit Analysis Humans Machine Learning Algorithms Decision Support Techniques Delivery of Health Care Risk Factors
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Comparison of medical image classification accuracy among three machine learning methods.

Journal of X-ray science and technology Jan 1, 2018
BACKGROUND: Low-quality medical images may influence the accuracy of the machine learning process.
Diagnostic Imaging Neural Networks, Computer Machine Learning Databases, Factual Deep Learning Image Processing, Computer-Assisted Support Vector Machine Humans
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A Brief Survey of Machine Learning Application in Cancerlectin Identification.

Current gene therapy Jan 1, 2018
Proteins with at least one carbohydrate recognition domain are lectins that can identify and reversibly interact with glycan moiety of glycoconjugates or a soluble carbohydrate. It has been proved that lectins can play various vital roles in mediatin...
Neoplasms Surveys and Questionnaires Signal Transduction Humans Machine Learning Genetic Therapy Lectins
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Artificial intelligence, machine learning, neural networks, and deep learning: Futuristic concepts for new dental diagnosis.

Quintessence international (Berlin, Germany : 1985) Jan 1, 2018
Artificial Intelligence Machine Learning Deep Learning Humans Dental Care Diagnosis, Oral
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