AIMC Topic: Quality Assurance, Health Care
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Automatic classification of dental artifact status for efficient image veracity checks: effects of image resolution and convolutional neural network depth.
Physics in medicine and biology
Jan 10, 2020
Enabling automated pipelines, image analysis and big data methodology in cancer clinics requires thorough understanding of the data. Automated quality assurance steps could improve the efficiency and robustness of these methods by verifying possible ...
CAD and AI for breast cancer-recent development and challenges.
The British journal of radiology
Dec 16, 2019
Computer-aided diagnosis (CAD) has been a popular area of research and development in the past few decades. In CAD, machine learning methods and multidisciplinary knowledge and techniques are used to analyze the patient information and the results ca...
Ultrasonography, Mammary
Image Interpretation, Computer-Assisted
Quality Assurance, Health Care
Magnetic Resonance Imaging
Mammography
Radiology
Diagnosis, Computer-Assisted
Deep Learning
Decision Support Systems, Clinical
Bibliometrics
Humans
Neural Networks, Computer
Artificial Intelligence
Female
Breast Neoplasms
Artificial Intelligence in Radiation Oncology.
Hematology/oncology clinics of North America
Sep 11, 2019
The integration of artificial intelligence in the radiation oncologist's workflow has multiple applications and significant potential. From the initial patient encounter, artificial intelligence may aid in pretreatment disease outcome and toxicity pr...
Machine Learning for Patient-Specific Quality Assurance of VMAT: Prediction and Classification Accuracy.
International journal of radiation oncology, biology, physics
Aug 1, 2019
PURPOSE: To assess the accuracy of machine learning to predict and classify quality assurance (QA) results for volumetric modulated arc therapy (VMAT) plans.
Workload
Radiotherapy Planning, Computer-Assisted
Data Accuracy
Quality Assurance, Health Care
Head and Neck Neoplasms
Poisson Distribution
Regression Analysis
Genital Neoplasms, Female
Radiotherapy, Intensity-Modulated
Humans
Machine Learning
Female
Reproducibility of Results
Sensitivity and Specificity
Quality assurance of computer-aided detection and diagnosis in colonoscopy.
Gastrointestinal endoscopy
Mar 26, 2019
Recent breakthroughs in artificial intelligence (AI), specifically via its emerging sub-field "deep learning," have direct implications for computer-aided detection and diagnosis (CADe and/or CADx) for colonoscopy. AI is expected to have at least 2 m...
Radiation Therapy Quality Assurance Tasks and Tools: The Many Roles of Machine Learning.
Medical physics
Mar 4, 2019
The recent explosion in machine learning efforts in the quality assurance (QA) space has produced a variety of proofs-of-concept many with promising results. Expected outcomes of model implementation include improvements in planning time, plan qualit...
Machine learning for automated quality assurance in radiotherapy: A proof of principle using EPID data description.
Medical physics
Mar 4, 2019
PURPOSE: Developing automated methods to identify task-driven quality assurance (QA) procedures is key toward increasing safety, efficacy, and efficiency. We investigate the use of machine learning (ML) methods for possible visualization, automation,...
Potential of a machine-learning model for dose optimization in CT quality assurance.
European radiology
Feb 19, 2019
OBJECTIVES: To evaluate machine learning (ML) to detect chest CT examinations with dose optimization potential for quality assurance in a retrospective, cross-sectional study.
Knowledge-based dose prediction models for head and neck cancer are strongly affected by interorgan dependency and dataset inconsistency.
Medical physics
Dec 24, 2018
PURPOSE: The goal of this study was to generate a large treatment plan database for head and neck (H&N) cancer patients that can be considered as the gold standard to train and validate models for knowledge-based (KB) treatment planning and QA. With ...
Artificial intelligence in radiation oncology: A specialty-wide disruptive transformation?
Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
Jun 12, 2018
Artificial intelligence (AI) is emerging as a technology with the power to transform established industries, and with applications from automated manufacturing to advertising and facial recognition to fully autonomous transportation. Advances in each...
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