AI in Medicine CME Topics for Your Next Meeting

Celebrating National AI Appreciation Day — July 16

It’s National Artificial Intelligence Appreciation Day, a day recognizing AI’s growing impact on healthcare, education, and business. And there’s no better time to think about how artificial intelligence belongs on your CME agenda.

Your learners are already encountering AI in healthcare every day. In fact, the AMA’s 2026 Physician Survey on Augmented Intelligence found that 81% of physicians now use AI in their practices and 92% want more education and training on it. The question most medical education meeting planners are asking isn’t whether to schedule an AI in Medicine lecture, but which topic to choose.

That’s why we’ve put together the following list of AI in Medicine CME topics to review for your next continuing medical education meeting, grand rounds, or annual conference. Each presentation is delivered by an expert speaker and can be tailored to your audience and format.

AI in Medicine CME Topics

Overview of Clinical Applications, Limitations, and Risks of AI

Upon completion of this activity, participants will be able to:

• Discuss how artificial intelligence is changing the landscape of medical science
• Examine the benefits and risks of AI applications on physicians, healthcare institutions, medical education, and bioethics
• Assess the challenges and future directions of AI in medicine

The New Age of AI: Responsibilities and Opportunities for Clinicians

Upon completion of this activity, participants will be able to:

• Describe the landscape of AI in healthcare
• Identify the risks to quality and safety that AI introduces
• Recognize new opportunities AI brings to clinicians

Ending the Endemic of Lousy Notes

Upon completion of this activity, participants will be able to:

• Define the components of a high-quality note
• Describe a system-wide strategy for note quality measurement and improvement
• Describe how AI-generated note quality measurement supports system-wide change

Who is Better at Treating Patients, Humans or Algorithms?

Upon completion of this activity, participants will be able to:

• Evaluate the current capabilities and limitations of healthcare technologies
• Describe the EHR foundations required to leverage current technologies successfully
• Describe the role of manual interventions in maximizing technology-based approaches

The Convergence of Medicine, Pathology, and ChatGPT

Upon completion of this activity, participants will be able to:

• Describe the fundamentals of large language models and their relevance to medicine
• Examine practical applications of ChatGPT in medicine, including data extraction, report generation, and knowledge synthesis
• Recognize ethical considerations and potential biases in AI-driven diagnostic tools and their implications for patient care

Building Trust in AI & Practical Applications to Improve Goal-Concordant Care

Upon completion of this activity, participants will be able to:

• Describe different applications of AI models in healthcare
• Describe tools to evaluate AI model performance
• Discuss efforts to improve goal-concordant care and the role of informatics and operations

AI in Radiology

Upon completion of this activity, participants will be able to:

• Describe key AI concepts and applications in radiology, including benefits and limitations
• Evaluate the impact of AI on workflow and patient care
• Discuss ethical, legal, regulatory, and future considerations in AI-enabled radiology

Innovative Heart Disease Imaging & Technology

Upon completion of this activity, participants will be able to:

• Describe newer AI-enabled technologies (e.g., Cleerly, fractional flow reserve) for detecting and classifying cardiac impairments, with emphasis on coronary artery disease
• Identify clinical use cases and their impact on medical management and outcomes
• Apply these technologies in the context of mortality and morbidity risk assessment

Surgical Innovation – Are We Really Ready for What’s Coming?

Upon completion of this activity, participants will be able to:

• Explain how AI is transforming the operating room, from predictive analytics and precision robotics to autonomous surgical systems
• Evaluate how emerging technology will redefine surgical skills, workflows, and expertise

AI in Gynecology: Artificial Intelligence or Another Impostor?

Upon completion of this activity, participants will be able to:

• Define AI and its impact on OBGYN surgical procedures
• Discuss surgical navigation and robotics
• Discuss predictive analytics and post-operative performance improvement

Ready to Book an AI in Medicine Speaker?

We are here to assist. Connect with us to schedule an AI in Medicine speaker or explore expert speakers across all our CME topics at info@speakersnetwork.com or 714-505-4777.

Evidence-based references

2026 Physician Survey on Augmented Intelligence — American Medical Association, Center for Digital Health and AI (March 2026)
https://www.ama-assn.org/practice-management/digital-health/more-80-physicians-use-ai-professionally-ama-survey

Interval cancer, sensitivity, and specificity comparing AI-supported mammography screening with standard double reading without AI in the MASAI study: a randomised, controlled, non-inferiority, single-blinded, population-based, screening-accuracy trial — The Lancet (2026)
https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(25)02464-X/abstract

Use of Ambient AI Scribes to Reduce Administrative Burden and Professional Burnout — JAMA Network Open (October 2025)
https://pubmed.ncbi.nlm.nih.gov/41037268/