CPR and AI · October 2026
AI is changing CPR training in three ways: it measures every compression, it makes short refresher practice easier to schedule, and researchers are testing it as a coach for bystanders in real emergencies.
1. Feedback on every compression
Smart training manikins record compression depth, rate and recoil. Software turns those readings into corrections the learner can act on right away. The 2025 AHA guidelines recommend feedback devices in CPR training for both lay rescuers and healthcare professionals (Class 1).
2. Practice that fits a schedule
The 2025 guidelines recommend booster sessions when training is done in one block, and call spaced learning a reasonable alternative. Short, frequent practice needs easy scheduling, which is where AI booking and reminder systems help.
3. What AI does not replace
Hands-on practice still matters. The same guidelines say virtual reality should not be used to learn CPR skills (Class 3: Harm), though it may help with knowledge. Gamified elements may be reasonable.
4. Beyond the classroom: AI guidance for bystanders
A research model called ChatCPR was tested on transcripts of real 911 cardiac arrest calls. In this proof-of-concept study it covered 100% of basic CPR guideline steps, compared with about 85% for dispatchers. It is not in use on real calls yet.
How AUTOCPR uses AI
AUTOCPR centers combine an AI Agent operating platform for enrollment, scheduling and guidance with smart manikins and a standardized teaching process, inside American Red Cross and AHA course frameworks. Learners do the theory online, then complete a short skills session on manikins that measure their compressions. See how a class works.