AIMC Topic: Workflow
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Development of an intelligent surgical training system for Thoracentesis.
Artificial intelligence in medicine
Nov 21, 2017
Surgical training improves patient care, helps to reduce surgical risks, increases surgeon's confidence, and thus enhances overall patient safety. Current surgical training systems are more focused on developing technical skills, e.g. dexterity, of t...
Machine Learning in Radiology: Applications Beyond Image Interpretation.
Journal of the American College of Radiology : JACR
Nov 17, 2017
Much attention has been given to machine learning and its perceived impact in radiology, particularly in light of recent success with image classification in international competitions. However, machine learning is likely to impact radiology outside ...
Machine Learning for Predicting Patient Wait Times and Appointment Delays.
Journal of the American College of Radiology : JACR
Oct 24, 2017
Being able to accurately predict waiting times and scheduled appointment delays can increase patient satisfaction and enable staff members to more accurately assess and respond to patient flow. In this work, the authors studied the applicability of m...
Chaotic genetic algorithm and Adaboost ensemble metamodeling approach for optimum resource planning in emergency departments.
Artificial intelligence in medicine
Oct 18, 2017
Long length of stay and overcrowding in emergency departments (EDs) are two common problems in the healthcare industry. To decrease the average length of stay (ALOS) and tackle overcrowding, numerous resources, including the number of doctors, nurses...
Length of Stay
Time Factors
Emergency Service, Hospital
Machine Learning
Decision Support Techniques
Computer Simulation
Nonlinear Dynamics
Decision Support Systems, Management
Health Services Needs and Demand
Patient Admission
Workflow
Patient Discharge
Efficiency, Organizational
Humans
Neural Networks, Computer
Hospitals, Teaching
Patient Care Team
Needs Assessment
Delivery of Health Care, Integrated
Optimisation of a machine learning algorithm in human locomotion using principal component and discriminant function analyses.
PloS one
Sep 8, 2017
Assessment methods in human locomotion often involve the description of normalised graphical profiles and/or the extraction of discrete variables. Whilst useful, these approaches may not represent the full complexity of gait data. Multivariate statis...
Robotic milking: Technology, farm design, and effects on work flow.
Journal of dairy science
Jul 12, 2017
Robotic milking reduces labor demands on dairy farms of all sizes and offers a more flexible lifestyle for farm families milking up to 250 cows. Because milking is voluntary, barn layouts that encourage low-stress access by providing adequate open sp...
Machine learning workflow to enhance predictions of Adverse Drug Reactions (ADRs) through drug-gene interactions: application to drugs for cutaneous diseases.
Scientific reports
Jun 16, 2017
Adverse drug reactions (ADRs) pose critical public health issues, affecting over 6% of hospitalized patients. While knowledge of potential drug-drug interactions (DDI) is necessary to prevent ADR, the rapid pace of drug discovery makes it challenging...
Gaze-contingent perceptually enabled interactions in the operating theatre.
International journal of computer assisted radiology and surgery
Apr 10, 2017
PURPOSE: Improved surgical outcome and patient safety in the operating theatre are constant challenges. We hypothesise that a framework that collects and utilises information -especially perceptually enabled ones-from multiple sources, could help to ...
Reproducibility of computational workflows is automated using continuous analysis.
Nature biotechnology
Mar 13, 2017
Replication, validation and extension of experiments are crucial for scientific progress. Computational experiments are scriptable and should be easy to reproduce. However, computational analyses are designed and run in a specific computing environme...
Knowledge as a Service at the Point of Care.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Feb 10, 2017
An electronic health record (EHR) can assist the delivery of high-quality patient care, in part by providing the capability for a broad range of clinical decision support, including contextual references (e.g., Infobuttons), alerts and reminders, ord...
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