Credit Available - See Credits tab below.
Total Credits: 0.5 0.5 AOA and AMA Category 1-A CME Credit
Artificial Intelligence (AI) is rapidly transforming healthcare, offering tools that can enhance patient care, reduce clinician workload, and improve outcomes. But how can physicians integrate AI responsibly in everyday practice? In this session, Dr. Joseph Kingston—an ONMM specialist with a background in computer science and engineering—shares real-world examples of AI in clinical settings, outlines the benefits and limitations of current tools, and provides a framework for using AI ethically and effectively. Attendees will leave with actionable strategies to incorporate AI in a way that supports, rather than replaces, clinical judgment.


AOA Credit Designation Statement:
The Utah Osteopathic Medical Association is accredited by the American Osteopathic Association to provide osteopathic continuing medical education for physicians. The Utah Osteopathic Medical Association designates this on-demand activity for a maximum of 0.75 of AOA Category 1-A credits and will report CME and specialty credits commensurate with the extent of the physician’s participation in this activity.
AMA Credit Designation Statement:
This activity has been planned and implemented in accordance with the accreditation requirements and policies of the Accreditation Council for Continuing Medical Education (ACCME) through the joint sponsorship of the American Osteopathic Association (AOA) and the Utah Osteopathic Medical Association (UOMA). The AOA is accredited by the ACCME to provide continuing medical education for physicians. AOA designates this enduring material for a maximum of 0.75 AMA PRA Category 1 Credits™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
Dr. Joseph Kingston is a physician specializing in Osteopathic Neuromuscular Medicine and an educator at Noorda COM. With dual degrees in computer science and engineering, he integrates AI into his osteopathic practice and teaching. He is passionate about responsible AI and reducing physician burnout.