AIMC Topic: Workflow

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Combined Machine Learning and Molecular Modelling Workflow for the Recognition of Potentially Novel Fungicides.

Molecules (Basel, Switzerland) May 8, 2020
Novel machine learning and molecular modelling filtering procedures for drug repurposing have been carried out for the recognition of the novel fungicide targets of Cyp51 and Erg2. Classification and regression approaches on molecular descriptors hav...
Machine Learning Software Molecular Docking Simulation Workflow Fungicides, Industrial Molecular Dynamics Simulation
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A primer on artificial intelligence and its application to endoscopy.

Gastrointestinal endoscopy May 7, 2020
Artificial intelligence (AI) has emerged as a powerful and exciting new technology poised to impact many aspects of health care. In endoscopy, AI is now being used to detect and characterize benign and malignant GI lesions and assess malignant lesion...
Humans Artificial Intelligence Workflow Capsule Endoscopy
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A semi-automated machine-learning based workflow for ellipsoid zone analysis in eyes with macular edema: SCORE2 pilot study.

PloS one Apr 30, 2020
BACKGROUND AND OBJECTIVE: To develop a semi-automated, machine-learning based workflow to evaluate the ellipsoid zone (EZ) assessed by spectral domain optical coherence tomography (SD-OCT) in eyes with macular edema secondary to central retinal or he...
Retinal Vein Occlusion Recombinant Fusion Proteins Macula Lutea Receptors, Vascular Endothelial Growth Factor Bevacizumab Image Processing, Computer-Assisted Angiogenesis Inhibitors Treatment Outcome Tomography, Optical Coherence Drug Monitoring Workflow Macular Edema Vascular Endothelial Growth Factor A Adult Male Middle Aged Pilot Projects Humans Machine Learning Female
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Conventional vs machine learning-based treatment planning in prostate brachytherapy: Results of a Phase I randomized controlled trial.

Brachytherapy Apr 19, 2020
PURPOSE: The purpose of this study was to evaluate the noninferiority of Day 30 dosimetry between a machine learning-based treatment planning system for prostate low-dose-rate (LDR) brachytherapy and the conventional, manual planning technique. As a ...
Radiotherapy Dosage Radiometry Radiotherapy Planning, Computer-Assisted Radiation Dosage Postoperative Period Brachytherapy Aged Male Middle Aged Time Factors Prostatic Neoplasms Rectum Workflow Iodine Radioisotopes Humans Machine Learning
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Integrating autonomously navigating assistance systems into the clinic: guiding principles and the ANTS-OR approach.

International journal of computer assisted radiology and surgery Apr 2, 2020
PURPOSE: Autonomously self-navigating clinical assistance systems (ASCAS) seem highly promising for improving clinical workflows. There is great potential for easing staff workload and improving overall efficiency by reducing monotonous and physicall...
Workflow Health Services Needs and Demand Task Performance and Analysis Operating Rooms Algorithms Computer Simulation Robotics Workload Personnel Staffing and Scheduling Personnel Staffing and Scheduling Information Systems Planning Techniques Humans
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Machine learning for cluster analysis of localization microscopy data.

Nature communications Mar 20, 2020
Quantifying the extent to which points are clustered in single-molecule localization microscopy data is vital to understanding the spatial relationships between molecules in the underlying sample. Many existing computational approaches are limited in...
Neural Networks, Computer Machine Learning Software Cluster Analysis Humans Single Molecule Imaging Biological Phenomena Workflow Microscopy Optical Imaging
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Overall survival prediction of non-small cell lung cancer by integrating microarray and clinical data with deep learning.

Scientific reports Mar 13, 2020
Non-small cell lung cancer (NSCLC) is one of the most common lung cancers worldwide. Accurate prognostic stratification of NSCLC can become an important clinical reference when designing therapeutic strategies for cancer patients. With this clinical ...
Neoplasm Metastasis Microarray Analysis Kaplan-Meier Estimate Lung Neoplasms Computational Biology Support Vector Machine Carcinoma, Non-Small-Cell Lung Area Under Curve Neoplasm Staging Neoplasm Grading Workflow Humans Reproducibility of Results Biomarkers, Tumor Deep Learning
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BrainSpace: a toolbox for the analysis of macroscale gradients in neuroimaging and connectomics datasets.

Communications biology Mar 5, 2020
Understanding how cognitive functions emerge from brain structure depends on quantifying how discrete regions are integrated within the broader cortical landscape. Recent work established that macroscale brain organization and function can be describ...
Brain Mapping Predictive Value of Tests Workflow Image Interpretation, Computer-Assisted Nerve Net Diffusion Tensor Imaging Neocortex Humans Artificial Intelligence Reproducibility of Results Magnetic Resonance Imaging
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Improved Accuracy in Optical Diagnosis of Colorectal Polyps Using Convolutional Neural Networks with Visual Explanations.

Gastroenterology Feb 29, 2020
BACKGROUND & AIMS: Narrow-band imaging (NBI) can be used to determine whether colorectal polyps are adenomatous or hyperplastic. We investigated whether an artificial intelligence (AI) system can increase the accuracy of characterizations of polyps b...
Seoul Adenomatous Polyps Narrow Band Imaging Observer Variation Hyperplasia Visual Perception Humans Reproducibility of Results Colorectal Neoplasms Predictive Value of Tests Workflow Colonic Polyps Image Interpretation, Computer-Assisted Colonoscopy Diagnosis, Computer-Assisted Deep Learning Clinical Competence
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Radiomics: from qualitative to quantitative imaging.

The British journal of radiology Feb 26, 2020
Historically, medical imaging has been a qualitative or semi-quantitative modality. It is difficult to quantify what can be seen in an image, and to turn it into valuable predictive outcomes. As a result of advances in both computational hardware and...
Forecasting Female Breast Neoplasms Brain Neoplasms Male Deep Learning Image Processing, Computer-Assisted Lung Neoplasms Humans Radiography Diagnostic Imaging Workflow Technology, Radiologic
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