5 Key Takeaways

• 1

  Retinopathy of prematurity (ROP) is a leading cause of childhood blindness, particularly affecting infants in low-income and middle-income countries.

• 2

  AI and machine learning can standardize ROP diagnosis, improve access to care, and reduce interexpert variability in clinical assessments.

• 3

  The i-ROP deep learning system has shown 100% sensitivity for detecting more than mild ROP in real-world telemedicine programs.

• 4

  Successful AI implementation in ROP care requires clinical validation across diverse populations and integration into existing healthcare workflows.

• 5

  AI can help reduce disparities in ROP care, but its application must be tailored to local resources and needs for effective use.