Author Correction: Leveraging AI and transfer learning to enhance out-of-hospital cardiac arrest outcome prediction in diverse setting

Key Points

• Outcome prediction for out-of-hospital cardiac arrest significantly improves with the application of AI and transfer learning.
• The prediction model incorporates diverse settings to enhance accuracy, leading to a more robust assessment.
• Assessment of data from various environments showcases the benefits of machine learning techniques in healthcare.
• These advancements may enable rapid identification of critical patients, informing timely and effective medical responses.