Arpan Saxena, COO/CIO at basys.ai, emphasizes that the primary challenge in implementing AI in healthcare is not the technology itself, but building trust among clinicians and stakeholders. He argues that AI systems must incorporate human context and clinical reasoning to avoid reinforcing existing inequities and to ensure fair treatment of patients. Saxena suggests involving frontline reviewers early in the design process, embracing disagreement as a learning opportunity, and continuing to review complex cases post-implementation to refine both AI models and operational processes. AI
IMPACT Highlights the critical need for human oversight and trust-building in AI healthcare applications to ensure equitable outcomes.
RANK_REASON Opinion piece by a named credible voice discussing AI implementation challenges.
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