AIMC Topic: Workflow

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Automated quantitative tumour response assessment of MRI in neuro-oncology with artificial neural networks: a multicentre, retrospective study.

The Lancet. Oncology Apr 2, 2019
BACKGROUND: The Response Assessment in Neuro-Oncology (RANO) criteria and requirements for a uniform protocol have been introduced to standardise assessment of MRI scans in both clinical trials and clinical practice. However, these criteria mainly re...
Treatment Outcome Magnetic Resonance Imaging Multicenter Studies as Topic Randomized Controlled Trials as Topic Male Disease Progression Diagnosis, Computer-Assisted Time Factors Image Interpretation, Computer-Assisted Humans Automation Neural Networks, Computer Germany Retrospective Studies Clinical Trials, Phase II as Topic Databases, Factual Clinical Trials, Phase III as Topic Female Predictive Value of Tests Reproducibility of Results Brain Neoplasms Workflow Tumor Burden
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A Transition Control Mechanism for Artificial Bee Colony (ABC) Algorithm.

Computational intelligence and neuroscience Apr 1, 2019
Artificial Bee Colony (ABC) algorithm inspired by the complex search and foraging behaviors of real honey bees is one of the most promising implementations of the Swarm Intelligence- (SI-) based optimization algorithms. Due to its robust and phase-di...
Bees Behavior, Animal Animals Multimodal Imaging Workflow Probability Neural Networks, Computer Artificial Intelligence Algorithms
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netDx: interpretable patient classification using integrated patient similarity networks.

Molecular systems biology Mar 14, 2019
Patient classification has widespread biomedical and clinical applications, including diagnosis, prognosis, and treatment response prediction. A clinically useful prediction algorithm should be accurate, generalizable, be able to integrate diverse da...
Humans Machine Learning Software Algorithms Survival Analysis Breast Neoplasms Prognosis Genomics Female Workflow Asthma Benchmarking
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Rise of the Machines: Advances in Deep Learning for Cancer Diagnosis.

Trends in cancer Feb 28, 2019
Deep learning refers to a set of computer models that have recently been used to make unprecedented progress in the way computers extract information from images. These algorithms have been applied to tasks in numerous medical specialties, most exten...
Workflow Immunohistochemistry Neoplasms Deep Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer Artificial Intelligence Machine Learning Tomography, X-Ray Computed
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Sensor-based machine learning for workflow detection and as key to detect expert level in laparoscopic suturing and knot-tying.

Surgical endoscopy Feb 21, 2019
INTRODUCTION: The most common way of assessing surgical performance is by expert raters to view a surgical task and rate a trainee's performance. However, there is huge potential for automated skill assessment and workflow analysis using modern techn...
Suture Techniques Models, Anatomic Machine Learning Algorithms Clinical Competence Ontario Decision Trees Laparoscopy Workflow Silicon Humans Neural Networks, Computer
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Defining host-pathogen interactions employing an artificial intelligence workflow.

eLife Feb 12, 2019
UNLABELLED: For image-based infection biology, accurate unbiased quantification of host-pathogen interactions is essential, yet often performed manually or using limited enumeration employing simple image analysis algorithms based on image segmentati...
Single-Cell Analysis Image Processing, Computer-Assisted Salmonella typhimurium Microscopy, Fluorescence Humans Artificial Intelligence Workflow Toxoplasma HeLa Cells Host-Pathogen Interactions
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Automated analysis of cardiovascular magnetic resonance myocardial native T mapping images using fully convolutional neural networks.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Jan 14, 2019
BACKGROUND: Cardiovascular magnetic resonance (CMR) myocardial native T mapping allows assessment of interstitial diffuse fibrosis. In this technique, the global and regional T are measured manually by drawing region of interest in motion-corrected T...
Humans Prospective Studies Female Reproducibility of Results Aged Adult Image Interpretation, Computer-Assisted Observer Variation Automation Magnetic Resonance Imaging Male Predictive Value of Tests Cardiovascular Diseases Middle Aged Deep Learning Myocardium Workflow
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CANDLE/Supervisor: a workflow framework for machine learning applied to cancer research.

BMC bioinformatics Dec 21, 2018
BACKGROUND: Current multi-petaflop supercomputers are powerful systems, but present challenges when faced with problems requiring large machine learning workflows. Complex algorithms running at system scale, often with different patterns that require...
Early Detection of Cancer Workflow Humans Neural Networks, Computer Machine Learning Neoplasms
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The Role of Artificial Intelligence in Interventional Oncology: A Primer.

Journal of vascular and interventional radiology : JVIR Dec 7, 2018
Neural Networks, Computer Artificial Intelligence Machine Learning Patient Selection Forecasting Humans Diffusion of Innovation Clinical Decision-Making Medical Oncology Diagnosis, Computer-Assisted Radiography, Interventional Liver Neoplasms Workflow
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Shared Decision-Making Ontology for a Healthcare Team Executing a Workflow, an Instantiation for Metastatic Spinal Cord Compression Management.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Regardless of potential benefits and better outcomes, adoption of shared decision-making between a patient and providers involved in his/her care is still in its infancy. This paper intends to fill this gap by formalizing shared decision-making, situ...
Patient Care Team Decision Support Systems, Clinical Patient Participation Decision Making, Shared Workflow Humans Spinal Cord Compression Biological Ontologies Female Spinal Neoplasms Male
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