Linkage Projects - Grant ID: LP150101052

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/LP150101052

Funding Status
Closed

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Funded Activity Summary

Machine Learning for Fracture Risk Assessment from Simple Radiography. This project aims to develop a novel, reliable, low-cost system to detect poor bone health and assess fracture risk to help to prevent and manage osteoporosis-related fractures. Currently, osteoporosis-related fractures cost our health system millions of dollars annually and costs are increasing with our ageing population. Early detection of poor bone health will improve the effectiveness of preventive measures and ease this burden. Current methods include unreliable, crude clinical and visual guides that suggest osteoporosis screening. The project plans to develop a novel system by applying machine learning algorithms to radiology data which is commonly captured for diagnosing other conditions.

Funded Activity Details

Start Date: 16-06-2016

End Date: 17-06-2016

Funding Scheme: Linkage Projects

Funding Amount: $250,000.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Artificial Intelligence and Image Processing not elsewhere classified | Pattern Recognition and Data Mining | Computer Vision | Artificial Intelligence and Image Processing

ANZSRC Socio-Economic Objective (SEO)

Disability and Functional Capacity | Health Related to Ageing | Expanding Knowledge in Technology |

Other Keywords

Artificial Intelligence and Image Processing | Artificial Intelligence and Image Processing not elsewhere classified | Computer Vision | Disability and Functional Capacity | Expanding Knowledge in Technology | Health Related to Ageing | Pattern Recognition and Data Mining

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