Ezell cites several AI innovations, such as machine learning techniques to identify individuals at risk of opioid misuse, tools to locate misinformation about treatments, and programs to detect when individuals are at risk of relapsing. He also mentions a wearable device developed by Purdue University that can detect signs of overdose and automatically inject naloxone, an overdose-reversing agent. However, he raises concerns about potential misuse of AI technology, such as facial recognition leading to discrimination and the spread of misinformation through chatbots. He concludes by emphasizing the need for researchers, clinicians, patients, and the public to ensure the responsible use of AI.
Key takeaways:
- Artificial Intelligence (AI) is being explored as a potential solution to the opioid epidemic, with researchers and biomedical engineers using it for addiction prevention and treatment.
- AI innovations in this field primarily use machine learning to identify individuals at risk of developing opioid use disorder, disengaging from treatment, and relapse. They also help in detecting hazardous contaminants in drug supplies.
- Despite the potential benefits, there are concerns about the misuse of AI technology, such as facial recognition leading to discrimination and abuse, and the spread of misinformation through chatbots.
- The author emphasizes the need for not just researchers and clinicians, but also patients and the broader public to ensure the ethical use of AI in addressing the opioid epidemic.