University of Cincinnati Develops Innovative AI to Aid in Substance Use Disorder Diagnosis
Recent reports from various news outlets including MSN and Bioengineer.org have showcased an exciting breakthrough from researchers at the University of Cincinnati. They have developed a new artificial intelligence system designed to assist healthcare professionals in diagnosing substance use disorder.
Led by Professor Hans Breiter and Senior Research Associate Sumra Bari from the UC College of Engineering and Applied Science, this AI system can predict behaviors associated with substance use with an impressive accuracy of up to 83%. It can also assess the severity of addiction with 84% accuracy. This could enable medical professionals to offer timely treatment to those who need help.
This research stands out as one of the first to utilize a computational cognition framework alongside AI to evaluate how human judgment can predict behaviors related to substance use disorder. It also helps identify the specific substances a person may be using and gauge the seriousness of their addiction.
“This innovative AI can identify mental health issues and conditions often found alongside addiction. It’s a cost-effective starting point for evaluation and treatment,” Breiter noted.
The findings from this study were published in the well-respected journal, Nature Mental Health Research. Bioengineer.org referred to the AI system as both groundbreaking and revolutionary, emphasizing its potential to transform the way substance use disorder is diagnosed and treated.
Moreover, the affordability of this technology could help break down barriers to care, ultimately promoting better health equity for all, as reported by Bioengineer.org.
