AIMC Topic: Workflow

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Investigating a Needle-Based Epidural Procedure in Obstetric Anesthesia.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
This study investigates the safety and efficacy of a large-dose, needle-based epidural technique in obstetric anesthesia. The technique differs from a standard, catheter-based approach in that the anesthetic dose is administered through an epidural n...
Hypotension Female Needles Anesthetics, Local Anesthesia, Obstetrical Task Performance and Analysis Workflow Anesthesia, Epidural Analgesia, Obstetrical Humans Machine Learning Pregnancy
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Machine learning to anticipate delivery room activity?

Journal of gynecology obstetrics and human reproduction Dec 1, 2018
Pregnancy Female Infant, Newborn Prenatal Care Humans Machine Learning France Personnel Staffing and Scheduling Delivery Rooms Perinatal Care Labor, Induced Workload Workflow Hospitals, Maternity
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"Deep-Onto" network for surgical workflow and context recognition.

International journal of computer assisted radiology and surgery Nov 16, 2018
PURPOSE: Surgical workflow recognition and context-aware systems could allow better decision making and surgical planning by providing the focused information, which may eventually enhance surgical outcomes. While current developments in computer-ass...
Nephrectomy Deep Learning Robotic Surgical Procedures Workflow Kidney Neoplasms Humans
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Artificial Intelligence in Radiology: Current Technology and Future Directions.

Seminars in musculoskeletal radiology Nov 6, 2018
Artificial intelligence (AI) has been heralded as the next big wave in the computing revolution and touted as a transformative technology for many industries including health care. In radiology, considerable excitement and anxiety are associated with...
Image Interpretation, Computer-Assisted Humans Artificial Intelligence Big Data Radiology Workflow Appointments and Schedules
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Artificial intelligence machine learning-based coronary CT fractional flow reserve (CT-FFR): Impact of iterative and filtered back projection reconstruction techniques.

Journal of cardiovascular computed tomography Oct 26, 2018
BACKGROUND: The influence of computed tomography (CT) reconstruction algorithms on the performance of machine-learning-based CT-derived fractional flow reserve (CT-FFR) has not been investigated. CT-FFR values and processing time of two reconstructio...
Aged Male Middle Aged Severity of Illness Index Retrospective Studies Female Reproducibility of Results Coronary Artery Disease Workflow Coronary Vessels Computed Tomography Angiography Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Humans Machine Learning Coronary Stenosis Fractional Flow Reserve, Myocardial
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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
Workflow Image Interpretation, Computer-Assisted Guidelines as Topic Radiology Department, Hospital Societies, Medical Humans Artificial Intelligence Software Algorithms
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WEADE: A workflow for enrichment analysis and data exploration.

PloS one Sep 28, 2018
Data analysis based on enrichment of Gene Ontology terms has become an important step in exploring large gene or protein expression datasets and several stand-alone or web tools exist for that purpose. However, a comprehensive and consistent analysis...
Software Gene Regulatory Networks Genomics Databases, Genetic Gene Ontology Data Interpretation, Statistical Systems Analysis Internet Workflow
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Predictive classifier models built from natural products with antimalarial bioactivity using machine learning approach.

PloS one Sep 28, 2018
In view of the vast number of natural products with potential antiplasmodial bioactivity and cost of conducting antiplasmodial bioactivity assays, it may be judicious to learn from previous antiplasmodial bioassays and predict bioactivity of these na...
Quantitative Structure-Activity Relationship Small Molecule Libraries Models, Chemical Workflow Drug Evaluation, Preclinical Antimalarials Algorithms In Vitro Techniques Biological Products Humans Machine Learning
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Automatic glomerular identification and quantification of histological phenotypes using image analysis and machine learning.

American journal of physiology. Renal physiology Sep 26, 2018
Current methods of scoring histological kidney samples, specifically glomeruli, do not allow for collection of quantitative data in a high-throughput and consistent manner. Neither untrained individuals nor computers are presently capable of identify...
Pattern Recognition, Automated Species Specificity Mice, Transgenic Humans Mice, Inbred C57BL Machine Learning Kidney Diseases Male Software Diagnosis, Computer-Assisted Predictive Value of Tests Automation, Laboratory Rats Phenotype Biopsy Disease Models, Animal Workflow Female Kidney Glomerulus Reproducibility of Results Microscopy Image Interpretation, Computer-Assisted Animals
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Increasing workflow development speed and reproducibility with Vectools.

F1000Research Sep 20, 2018
Despite advances in bioinformatics, custom scripts remain a source of difficulty, slowing workflow development and hampering reproducibility. Here, we introduce Vectools, a command-line tool-suite to reduce reliance on custom scripts and improve repr...
Reproducibility of Results Machine Learning Computational Biology Software Workflow
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