Year: 2026
Type: article
Abstract: Artificial intelligence (AI) integration in resuscitation medicine offers significant potential to improve cardiac arrest outcomes.As India modernizes its healthcare infrastructure and adopts digital technologies, examining AI applications in resuscitation is crucial for addressing unique challenges in our healthcare system. Current state of AI in resuscitationRecent AI advances demonstrate remarkable potential across four critical domains of resuscitation care.Automated CPR guidance systems utilizing machine learning algorithms have improved detection sensitivity for outof-hospital cardiac arrest (OHCA) recognition.In a randomized clinical trial involving 1,671 emergency calls in Copenhagen, Denmark, AI-based call analysis achieved 85.0% sensitivity compared to 77.5% by human dispatchers alone [1].These systems provide real-time feedback to emergency medical dispatchers and guide bystander CPR through mobile applications, potentially bridging the critical gap in early intervention.Predictive algorithms for cardiac arrest have emerged as powerful early warning tools.Deep learning models applied to electrocardiograms can predict cardiac arrest
Authors: Harish Kumar, Ankita, Jyotsna Kubre, Shikha Jain
Institution: All India Institute of Medical Sciences Bhopal
Language: English
Subfield: Emergency Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,590
OpenAlex ID: W7126189265