Ai in Pain Management

This presentation explores the evolving role of artificial intelligence (AI) in pain medicine, highlighting its history, applications, and challenges. AI began in the 1950s and now includes machine learning, deep learning, and neural networks powering tools like ChatGPT. Key clinical applications include pain assessment using facial and voice recognition, medical imaging enhancement for diagnosis, segmentation, and opportunistic screening (e.g., osteoporosis detection), and outcome prediction for procedures like spinal cord stimulation and epidural injections. AI also supports personalized therapy, opioid risk prediction, and ultrasound-guided interventions. Challenges remain in ethics, bias, data security, and lack of clinical trials, but AI promises safer, more efficient pain care.