Challenge	Impact	Proposed Solutions
Algorithm Transparency & Bias	Limited interpretability of AI-driven recommendations may affect clinician trust and adoption.	Develop explainable AI models and ensure transparency in decision-making algorithms.
Content Readability & Accessibility	AI-generated content often exceeds recommended readability levels, posing barriers for patients.	Refine AI-generated content to align with health literacy standards for broader accessibility.
Human Oversight in AI Decision-Making	AI models require human validation to prevent errors and ensure safe clinical implementation.	Maintain human-in-the-loop oversight to validate AI recommendations and mitigate risks.
Integration into Clinical Workflows	AI solutions must be seamlessly integrated into existing EHR systems and standardized protocols.	Promote interoperability between AI tools and clinical systems to enhance usability.
Cost and Scalability of AI Solutions	High costs of AI and robotic systems may limit widespread adoption in resource-constrained settings.	Develop cost-effective AI solutions and explore reimbursement models to enhance accessibility.