Keywords: AI-Assisted, Color Vision, Screening, Children, Primary Care
Setting:
This study presents an interactive kiosk designed to screen children for Color vision deficiency (CVD) while waiting for medical appointments. The goal is to provide a simple, engaging, and efficient solution that identifies potential vision issues without increasing the workload of healthcare providers. The pilot study will be conducted at family health centers in Izmir.
Target group:
CVD is common but often overlooked in children, affecting learning and daily life. Despite its significance, routine screening is rarely included in check-ups. Early detection allows for better adaptation, but traditional testing requires time and expertise, limiting widespread use. This AI-assisted kiosk could transform pediatric vision screening, making it more accessible, efficient, and cost-effective. Clinical validation and real-world testing are necessary to confirm accuracy. If successful, it could serve as a model for integrating AI-based tools into primary healthcare.
Description of the innovative practice or project:
The kiosk features touchscreen where children complete interactive, game-like tasks such as color identification and pattern matching. The system analyzes response patterns to detect possible CVD. If consistent difficulties are observed, it generates brief report for physicians, who can decide if further testing is required.
Results & Benefits:
• Engaging & Child-Friendly: The interactive format encourages participation.
• Efficient & Time-Saving: Screening occurs during waiting time, reducing clinical workload.
• Affordable & Easy to Implement: Requires only a tablet and basic software.
• Supports Early Detection: Helps identify children who may need further evaluation.
Challenges & Considerations:
• Scientific Validation: AI-based screening tools must be tested against gold-standard methods like Ishihara plates and anomaloscopes.
• Minimizing False Positives: Strategies are needed to prevent unnecessary parental concern.
• Data Privacy & Security: Compliance with GDPR and HIPAA regulations is essential.
Evaluation:
The study is currently in the data collection phase.
Next Steps:
The study is currently in the data collection phase.
Lessons learned:
The study is currently in the data collection phase.
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