Abstract Cardiopulmonary resuscitation in the event of sudden cardiac arrest is a critical life saving technique. If promptly and properly executed, a neurologically intact survival will increase fourfold. Despite 50 years of CPR training worldwide, many sudden cardiac arrest cases do not receive early CPR. Even when provided expeditiously, the success rate of CPR remains only 11.4% in out-of-hospital cardiac arrests and 23.8% with in-hospital cardiac arrests. Even within hospitals, high-quality chest compressions are not performed in 36%–87% of instances. Traditional skills lab CPR training has a considerable advantage due to real-time interaction between instructors and learners. However, time and place restrictions, scarcity of teaching centres, lack of uniform teaching and evaluation, lack of dynamic feedback and need for social distancing during pandemics and regular updates are some of the drawbacks. Alternative CPR teaching methodology using virtual and augmented reality enables trainees to learn tasks in settings closely mimicking realistic, immersive situations, creating a dynamic and engaging training experience. AI integration into CPR training is set to become an effective educational strategy. Resuscitation training will be a physiology-grounded realistic experience and result in better learner compliance concerning CPR guidelines. AI can also facilitate AED placement and delivery and direct advanced reperfusion strategies for patients with out-of-hospital cardiac arrest and refractory ventricular fibrillation.
Krishnamurti et al. (Mon,) studied this question.
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