Dr Kyle Martin k.martin3@rgu.ac.uk
Lecturer
Dr Kyle Martin k.martin3@rgu.ac.uk
Lecturer
Mrs Lesley Leishman
Dr Carlos Moreno-Garcia c.moreno-garcia@rgu.ac.uk
Associate Professor
The SBRI Artificial Intelligence supported early diagnostics in fracture detection and management in Scotland challenge aims to develop an AI or machine-based learning programme that can accurately identify or refute the presence of a fracture, initially as a classification problem. This development is an initial step towards integrating AI systems into a mainstream clinical workflow within the NHS and could be seen as the platform for building more intelligent learning systems. The project is being jointly funded by Opportunity North East and the Scottish Government.
Status | Project Complete |
---|---|
Funder(s) | Jiva.ai |
Value | £13,144.00 |
Project Dates | Nov 21, 2019 - Feb 21, 2020 |
Intelligent digitisation platform for processing, detecting and classifying symbols in technical drawings Jan 4, 2017 - Jan 3, 2018
The overall aim of the project is to build a Data Analytics Framework to process, analyse and digitise technical drawing and engineering diagrams using state-of-the-art machine learning and computer vision techniques
Data extraction from complex engineering drawings Aug 1, 2018 - Jul 31, 2019
Engineering drawings and diagrams are commonly used across different industries such as oil and gas, petrochemical, construction, transportation and others. Many legacy documents exist only as paper copies, scanned images or in pixelated format. Digi...
Read More about Data extraction from complex engineering drawings.
Multi-layer authentication platform Aug 7, 2019 - Aug 6, 2021
To develop a multi-layer authentication platform to enable secure remote invigilation, using advanced machine vision and machine learning algorithms to authenticate users who sit online exams remotely and to monitor their performance during the exam...
Read More about Multi-layer authentication platform.
Childhood obesity: An integrated review towards the comprehension of scientific data sources Feb 1, 2019 - Apr 30, 2019
Childhood obesity is an ever-growing issue in Scotland and around the globe. This project laid down the foundation of using routine data sources to understand the incidence/prevalence of childhood obesity and explore availability of relevant contribu...
Read More about Childhood obesity: An integrated review towards the comprehension of scientific data sources.
LiberEat Data Science Prototype Jan 8, 2020 - Jul 8, 2020
Due to the fast-paced nature of data collection, particularly with mobile apps, very little time is spent building a structured knowledge base system for data comprehension. Therefore, valuable information may be ‘trapped’ in a multitude of unstructu...
Read More about LiberEat Data Science Prototype.
About OpenAIR@RGU
Administrator e-mail: publications@rgu.ac.uk
This application uses the following open-source libraries:
Apache License Version 2.0 (http://www.apache.org/licenses/)
Apache License Version 2.0 (http://www.apache.org/licenses/)
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
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