AIMC Topic: Workflow

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Application of artificial intelligence (AI) in Radiotherapy workflow: Paradigm shift in Precision Radiotherapy using Machine Learning.

The British journal of radiology Sep 20, 2019
Radiation Oncology Workflow Artificial Intelligence Machine Learning Algorithms
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Artificial intelligence-based versus manual assessment of prostate cancer in the prostate gland: a method comparison study.

Clinical physiology and functional imaging Sep 8, 2019
AIM: To test the feasibility of a fully automated artificial intelligence-based method providing PET measures of prostate cancer (PCa).
Humans Automation Fluorine Radioisotopes Prostatectomy Choline Prostatic Neoplasms Image Interpretation, Computer-Assisted Middle Aged Neural Networks, Computer Prostate Aged Feasibility Studies Predictive Value of Tests Male Workflow Radiopharmaceuticals Positron Emission Tomography Computed Tomography
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Automated and Interpretable Patient ECG Profiles for Disease Detection, Tracking, and Discovery.

Circulation. Cardiovascular quality and outcomes Sep 5, 2019
BACKGROUND: The ECG remains the most widely used diagnostic test for characterization of cardiac structure and electrical activity. We hypothesized that parallel advances in computing power, machine learning algorithms, and availability of large-scal...
Time Factors Electrocardiography Action Potentials Reproducibility of Results Cardiovascular Diseases Diagnosis, Computer-Assisted Heart Rate Markov Chains Pattern Recognition, Automated Predictive Value of Tests Signal Processing, Computer-Assisted Workflow Humans Databases, Factual Prognosis Neural Networks, Computer Machine Learning
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Computational pathology definitions, best practices, and recommendations for regulatory guidance: a white paper from the Digital Pathology Association.

The Journal of pathology Sep 3, 2019
In this white paper, experts from the Digital Pathology Association (DPA) define terminology and concepts in the emerging field of computational pathology, with a focus on its application to histology images analyzed together with their associated pa...
Humans Artificial Intelligence Diagnosis, Computer-Assisted Predictive Value of Tests Terminology as Topic Computer Security Workflow Pathology Benchmarking Policy Making Image Interpretation, Computer-Assisted
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Measurement-oriented deep-learning workflow for improved segmentation of myelin and axons in high-resolution images of human cerebral white matter.

Journal of neuroscience methods Aug 1, 2019
BACKGROUND: Standard segmentation of high-contrast electron micrographs (EM) identifies myelin accurately but does not translate easily into measurements of individual axons and their myelin, even in cross-sections of parallel fibers. We describe aut...
Microscopy, Electron White Matter Humans Cerebrum Deep Learning Workflow Axons Image Interpretation, Computer-Assisted Autopsy Myelin Sheath
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ROBOT: A Tool for Automating Ontology Workflows.

BMC bioinformatics Jul 29, 2019
BACKGROUND: Ontologies are invaluable in the life sciences, but building and maintaining ontologies often requires a challenging number of distinct tasks such as running automated reasoners and quality control checks, extracting dependencies and appl...
Workflow Humans Biological Ontologies Software Programming Languages Disease
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Chemical-induced disease relation extraction via attention-based distant supervision.

BMC bioinformatics Jul 22, 2019
BACKGROUND: Automatically understanding chemical-disease relations (CDRs) is crucial in various areas of biomedical research and health care. Supervised machine learning provides a feasible solution to automatically extract relations between biomedic...
Databases as Topic Disease Toxicogenetics Databases, Factual Workflow Supervised Machine Learning Humans Neural Networks, Computer Algorithms
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Artificial intelligence in digital pathology: a roadmap to routine use in clinical practice.

The Journal of pathology Jul 18, 2019
The use of artificial intelligence will transform clinical practice over the next decade and the early impact of this will likely be the integration of image analysis and machine learning into routine histopathology. In the UK and around the world, a...
Forecasting Reproducibility of Results Humans Artificial Intelligence Diffusion of Innovation Image Interpretation, Computer-Assisted Diagnosis, Computer-Assisted Pathology Predictive Value of Tests Workflow
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Utilization of Artificial Intelligence in Echocardiography.

Circulation journal : official journal of the Japanese Circulation Society Jun 29, 2019
Echocardiography has a central role in the diagnosis and management of cardiovascular disease. Precise and reliable echocardiographic assessment is required for clinical decision-making. Even if the development of new technologies (3-dimentional echo...
Diagnosis, Computer-Assisted Reproducibility of Results Image Interpretation, Computer-Assisted Workflow Deep Learning Cardiovascular Diseases Humans Diffusion of Innovation Predictive Value of Tests Echocardiography Machine Learning Forecasting
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Projection-domain scatter correction for cone beam computed tomography using a residual convolutional neural network.

Medical physics Jun 5, 2019
PURPOSE: Scatter is a major factor degrading the image quality of cone beam computed tomography (CBCT). Conventional scatter correction strategies require handcrafted analytical models with ad hoc assumptions, which often leads to less accurate scatt...
Workflow Artifacts Monte Carlo Method Deep Learning Cone-Beam Computed Tomography Neural Networks, Computer Image Processing, Computer-Assisted Scattering, Radiation
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