AIMC Topic: Mobile Applications
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NutriNet: A Deep Learning Food and Drink Image Recognition System for Dietary Assessment.
Nutrients
Jun 27, 2017
Automatic food image recognition systems are alleviating the process of food-intake estimation and dietary assessment. However, due to the nature of food images, their recognition is a particularly challenging task, which is why traditional approache...
Using Artificial Intelligence to Reduce the Risk of Nonadherence in Patients on Anticoagulation Therapy.
Stroke
Apr 6, 2017
BACKGROUND AND PURPOSE: This study evaluated the use of an artificial intelligence platform on mobile devices in measuring and increasing medication adherence in stroke patients on anticoagulation therapy. The introduction of direct oral anticoagulan...
Neuronify: An Educational Simulator for Neural Circuits.
eNeuro
Mar 17, 2017
Educational software (apps) can improve science education by providing an interactive way of learning about complicated topics that are hard to explain with text and static illustrations. However, few educational apps are available for simulation of ...
Area Determination of Diabetic Foot Ulcer Images Using a Cascaded Two-Stage SVM-Based Classification.
IEEE transactions on bio-medical engineering
Nov 23, 2016
The standard chronic wound assessment method based on visual examination is potentially inaccurate and also represents a significant clinical workload. Hence, computer-based systems providing quantitative wound assessment may be valuable for accurate...
Externalising moods and psychological states in a cloud based system to enhance a pet-robot and child's interaction.
Biomedical engineering online
Jul 15, 2016
BACKGROUND: This PATRICIA research project is about using pet robots to reduce pain and anxiety in hospitalized children. The study began 2 years ago and it is believed that the advances made in this project are significant. Patients, parents, nurses...
The evaluation of i-SIDRA - a tool for intelligent feedback - in a course on the anatomy of the locomotor system.
International journal of medical informatics
Jul 14, 2016
OBJECTIVE: This paper presents an empirical study of a formative mobile-based assessment approach that can be used to provide students with intelligent diagnostic feedback to test its educational effectiveness.
A Web Server and Mobile App for Computing Hemolytic Potency of Peptides.
Scientific reports
Mar 8, 2016
Numerous therapeutic peptides do not enter the clinical trials just because of their high hemolytic activity. Recently, we developed a database, Hemolytik, for maintaining experimentally validated hemolytic and non-hemolytic peptides. The present stu...
Processing Diabetes Mellitus Composite Events in MAGPIE.
Journal of medical systems
Nov 21, 2015
The focus of this research is in the definition of programmable expert Personal Health Systems (PHS) to monitor patients affected by chronic diseases using agent oriented programming and mobile computing to represent the interactions happening amongs...
Assessing the feasibility of a mobile health-supported clinical decision support system for nutritional triage in oncology outpatients using Arden Syntax.
Artificial intelligence in medicine
Oct 22, 2015
BACKGROUND: Nutritional screening procedures followed by regular nutrition monitoring for oncological outpatients are no standard practice in many European hospital wards and outpatient settings. As a result, early signs of malnutrition are missed an...
A Robust and Fast Computation Touchless Palm Print Recognition System Using LHEAT and the IFkNCN Classifier.
Computational intelligence and neuroscience
May 31, 2015
Mobile implementation is a current trend in biometric design. This paper proposes a new approach to palm print recognition, in which smart phones are used to capture palm print images at a distance. A touchless system was developed because of public ...
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