News: medical machine learning
An artificial intelligence (AI) model trained to detect hip fractures from x-rays can outperform highly trained clinical specialists, but is also vulnerable to unexpected and potentially harmful errors, highlighting the need for ‘algorithmic audits’ of medical AI imaging systems, researchers say.
Along with colleagues, Professor Gustavo Carneiro at the Australian Institute for Machine Learning is developing a new system to help orthopaedic surgeons find their way around inside knees that require surgery.
South Australia’s health research sector is among the best in the world, with its renowned infrastructure and applications of new and advanced technologies having a global impact. South Australia has world-leading Artificial Intelligence research capability and a range of other world-class researchers in multiple areas in biomedical research.
Early diagnosis is the first step in successful cancer treatment and medical imaging has become intrinsic to the diagnostic process. Professor Gustavo Carneiro’s research team has been using AI to boost diagnostic screening for potentially deadly bowel and rectal cancer.
Adelaide based LBT Innovations is using AI developed in partnership with researchers from the Australian Institute for Machine Learning to automatically screen culture plates with high accuracy and speed.
Congratulations to Professor Mark Jenkinson who has been named a Chief Investigator on the $1.9 million grant from the Federal Government’s Medical Research Future Fund (MRFF) for research into the links between Traumatic Brain Injury (TBI) and the development of neurodegenerative diseases, such as Parkinson's and Alzheimer's.
Professor Gustavo Carneiro has written an article on the history of how Machine Learning has been applied to the health sector to develop Computer Aided Diagnosis (CAD) systems over the years.
Congratulations to Dr Johan Verjans, Deputy Director of Medical Machine Learning at AIML, who has been named a Chief Investigator for the Medical Research Future Fund (MRFF) grant project looking at preventing Diabetic Retinopathy among Aboriginal Australians.
Researchers proving how machine learning can help detect dangerous polyps.The South Australian researchers are finding new ways to better pinpoint suspicious polyps using artificial intelligence in the fight against deadly bowel cancer.
AIML Medical Machine Learning experts Dr Johan Verjans and Dr Luke Okaden-Rayner have authored a book, Artificial Intelligence in Medical Imaging, which is now free to download here.