AIMC Topic:
Software

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How Structured Use Cases Can Drive the Adoption of Artificial Intelligence Tools in Clinical Practice.

Journal of the American College of Radiology : JACR Oct 26, 2018
Software Algorithms Workflow Radiology Department, Hospital Societies, Medical Image Interpretation, Computer-Assisted Guidelines as Topic Humans Artificial Intelligence
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Automatic detection of erosions and ulcerations in wireless capsule endoscopy images based on a deep convolutional neural network.

Gastrointestinal endoscopy Oct 25, 2018
BACKGROUND AND AIMS: Although erosions and ulcerations are the most common small-bowel abnormalities found on wireless capsule endoscopy (WCE), a computer-aided detection method has not been established. We aimed to develop an artificial intelligence...
Jejunal Diseases Peptic Ulcer Ulcer Female Duodenal Ulcer Aged Humans Middle Aged Ileal Diseases Aged, 80 and over Adult Neural Networks, Computer Intestine, Small Sensitivity and Specificity Deep Learning Software ROC Curve Area Under Curve Male Inflammatory Bowel Diseases Anti-Inflammatory Agents, Non-Steroidal Pattern Recognition, Automated Capsule Endoscopy
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The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive care.

Nature medicine Oct 22, 2018
Sepsis is the third leading cause of death worldwide and the main cause of mortality in hospitals, but the best treatment strategy remains uncertain. In particular, evidence suggests that current practices in the administration of intravenous fluids ...
Humans Artificial Intelligence Software Vasoconstrictor Agents Male Clinical Decision-Making Critical Care Sepsis Learning Administration, Intravenous Cohort Studies Female
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Machine Learning Algorithms for Liquid Crystal-Based Sensors.

ACS sensors Oct 19, 2018
We present a machine learning (ML) framework to optimize the specificity and speed of liquid crystal (LC)-based chemical sensors. Specifically, we demonstrate that ML techniques can uncover valuable feature information from surface-driven LC orientat...
Machine Learning Software Water Nitriles Nitrogen Perchlorates Aluminum Compounds Biphenyl Compounds Liquid Crystals Organophosphorus Compounds
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The PInSoRo dataset: Supporting the data-driven study of child-child and child-robot social dynamics.

PloS one Oct 19, 2018
The study of the fine-grained social dynamics between children is a methodological challenge, yet a good understanding of how social interaction between children unfolds is important not only to Developmental and Social Psychology, but recently has b...
Software Female Humans Machine Learning Databases as Topic Male Child Interpersonal Relations Robotics
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SCREEN-DR: Collaborative platform for diabetic retinopathy.

International journal of medical informatics Oct 18, 2018
BACKGROUND AND OBJECTIVE: Diabetic retinopathy (DR) is the most prevalent microvascular complication of diabetes mellitus and can lead to irreversible visual loss. Screening programs, based on retinal imaging techniques, are fundamental to detect the...
Mass Screening Image Interpretation, Computer-Assisted Machine Learning Software Algorithms Humans Diabetic Retinopathy Artificial Intelligence
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CamurWeb: a classification software and a large knowledge base for gene expression data of cancer.

BMC bioinformatics Oct 15, 2018
BACKGROUND: The high growth of Next Generation Sequencing data currently demands new knowledge extraction methods. In particular, the RNA sequencing gene expression experimental technique stands out for case-control studies on cancer, which can be ad...
Neoplasms Sequence Analysis, RNA Gene Expression Regulation, Neoplastic Humans Software Genes, Neoplasm Knowledge Bases Base Sequence Genome, Human
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Development and validation of a deep-learning algorithm for the detection of polyps during colonoscopy.

Nature biomedical engineering Oct 10, 2018
The detection and removal of precancerous polyps via colonoscopy is the gold standard for the prevention of colon cancer. However, the detection rate of adenomatous polyps can vary significantly among endoscopists. Here, we show that a machine-learni...
ROC Curve Area Under Curve Databases, Factual Precancerous Conditions Colonic Polyps Humans Colonic Neoplasms Software Colonoscopy Algorithms Deep Learning Image Interpretation, Computer-Assisted
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Temporal separation of Cerenkov radiation and scintillation using artificial neural networks in Clinical LINACs.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Oct 10, 2018
The irradiation of scintillator-fiber optic dosimeters by clinical LINACs results in the measurement of scintillation and Cerenkov radiation. In scintillator-fiber optic dosimetry, the scintillation and Cerenkov radiation responses are separated to d...
Software Scintillation Counting Optical Fibers Time Factors Radiometry Humans Particle Accelerators Neural Networks, Computer
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Using a Natural Language Processing and Machine Learning Algorithm Program to Analyze Inter-Radiologist Report Style Variation and Compare Variation Between Radiologists When Using Highly Structured Versus More Free Text Reporting.

Current problems in diagnostic radiology Oct 9, 2018
PURPOSE: To use a natural language processing and machine learning algorithm to evaluate inter-radiologist report variation and compare variation between radiologists using highly structured versus more free text reporting.
Radiology Information Systems Humans Natural Language Processing Research Report Machine Learning Software
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