A new center at the University of California, Irvine (UCI) is working to better serve patients and healthcare providers by using artificial intelligence (AI).
Physicians at the UCI and UCI Health System recently launched the UCI Center for Artificial Intelligence in Diagnostic Medicine. The center seeks to advance patient care, improve health outcomes and lower costs by leveraging machine learning technology in all areas of healthcare, according to a press release.
The center will focus on developing and applying deep learning neural networks to healthcare applications, like diagnostics, disease prediction and therapy planning. Through the center, physicians and researchers will collaborate in an effort to implement “AI-based concepts into clinical tools to improve individual and population health,” the release said.
“Our goal is to empower healthcare providers, researchers and patients through the use of artificial intelligence,” UCI School of Medicine neurologist Peter Chang, MD, said in the release. “The center will develop machine learning tools that can be implemented for routine clinical use today.”
According to the release, Chang was recently recognized for his work on developing a customized deep-learning system. The system had a more than 97 percent accuracy rate in real time detection of brain hemorrhage on non-contrast CT head exams. With the success of that system, it’s believed the AI tool has clinical usefulness.
"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," Chow said in the release. "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."