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OSU-COM AI in Medicine: Clinical Integration, Innovation and the Future of Patient Care

February 3, 2026 - March 31, 2026

Explore practical, evidence-based strategies for integrating AI into clinical workflows across specialties, from primary care to behavioral health to pharmacy. Sessions will cover diagnostic tools, AI in education, regulatory considerations, remote patient monitoring and more equipping physicians, NPs, PAs, pharmacists, health leaders and educators with actionable insights to enhance patient care and drive innovation.

Topics include:

  • Best practices for AI in medicine and office use
  • AI in medical education
  • AI in pharmacy and digital therapeutics
  • Regulating the algorithm: Guidance and governance of AI in medicine
  • AI in Epic
  • Stronger, smarter care pop health and RPM
  • Being an ambassador of technology and AI for your healthcare system
  • AI in a DO world

Objectives

At the conclusion of this activity, learners will be able to:

  • Explain the foundational principles of artificial intelligence, including machine learning and natural language processing, and their current and emerging applications across various medical specialties.
  • Evaluate the clinical validity, utility, and potential limitations of AI tools in diagnostic support, treatment planning, and patient monitoring through evidence based frameworks.
  • Analyze the ethical and legal implications of AI in medicine, including concerns about bias, patient privacy, accountability and informed consent, with attention to maintaining professional integrity and patient trust.
  • Apply the osteopathic principle of holistic, patient-centered care when integrating AI technologies into practice, ensuring that technological tools enhance rather than diminish the physician patient relationship.
  • Demonstrate an understanding of how AI can support the osteopathic tenets of structure function interrelationship and the body’s innate ability to heal by augmenting clinical insight and enabling more personalized, preventive care strategies.

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Activity Sponsor

Oklahoma State University College of Osteopathic Medicine

Activity Time

February 3, 2026 at 8:00 AM CST

Anticipated Credits

8 AMA/PRA Category 1 Credit, AOA Category 1-A

Registration Deadline

March 30, 2026

Activity Website

https://medicine.okstate.edu/com/

Specialties

Family Medicine, Internal Medicine, Preventive Medicine

Topics

Artificial Intelligence

Fees

Early-bird rate: $215 | Regular rate: $240

Additional Details

Early-bird registration rate available until Dec. 4, 2025, at 3 p.m. CT. Use code EBAI2026.