Objective:
To evaluate the impact of artificial intelligence (AI) on myopia management and the associated risks.
Key Findings:
- Misinformation can mislead clinical decisions and patient behavior, especially when presented as partial truths.
- Deepfake technologies can fabricate research data and clinical images, undermining evidence-based medicine.
- AI can amplify confirmation bias, leading to echo chambers that reinforce preexisting beliefs among clinicians and patients.
Interpretation:
AI should be viewed as a tool to enhance clinical judgment rather than a replacement for critical thinking and ethical decision-making.
Limitations:
- Over-reliance on AI may dull human reasoning and contextual understanding.
- The potential for commercial misuse of AI-generated content is a growing concern.
Conclusion:
Navigating the challenges of AI in myopia care requires a balance between leveraging its benefits and managing its risks.
This content is an AI-generated, fully rewritten summary based on a published scholarly article. It does not reproduce the original text and is not a substitute for the original publication. Readers are encouraged to consult the source for full context, data, and methodology.


