Evaluate ethical, legal, and technical trade-offs encountered when deploying AI-driven diagnostic systems in low-resource healthcare settings. Assess issues including data quality and bias, informed consent and privacy, regulatory compliance and liability, infrastructure and maintenance constraints, accuracy versus accessibility, cost and sustainability, and stakeholder impacts. Given case scenarios, compare alternatives, justify a prioritized implementation plan, and propose mitigations for key risks.