A new research centre in the US aims to advance the use of artificial intelligence in healthcare.
The UCI Center for Artificial Intelligence in Diagnostic Medicine will be led by Dr Peter D. Chang and Dr Daniel S. Chow, neuroradiologists in the Department of Radiological Sciences, UCI School of Medicine, who are experts in the field.
The research centre will enable all faculty, physicians and researchers at the University of California, Irvine and UCI Health System to collaborate on translating AI-based concepts into clinical tools to improve individual and population health.
It will have a particular focus on developing and applying deep learning neural networks to healthcare applications, such as diagnostics, disease prediction and therapy planning.
“The centre will develop machine learning tools that can be implemented for routine clinical use today,” Dr Chow explained.
In June, Dr Chang was recognised by the American Society of Neuroradiology with the 2018 Cornelius G. Dyke Memorial Award for his work on developing a customised deep learning system with more than 97% accuracy in near real-time detection of brain haemorrhage on non-contrast CT (NCCT) head exams.
The centre is now preparing the system for clinical use in the UCI Medical Center emergency department.
“The research is an example of how we can use machine learning technology to improve the delivery of acute care in an emergency department by expediting triage of patient care and offering more detailed information to guide clinical decision making,” said Dr Chow. “An AI-based imaging may be used either as a triage system to assist radiologists in identifying high-priority exams for interpretation or as a method to rapidly quantify ICH volume, or both.”