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While AI holds great potential for improving patient care and streamlining processes, it also poses risks related to ethics, security, and data accuracy. Dr. Gao Yujia of the National University Health System stressed the importance of caution in implementing AI during HIMSS24 APAC. He highlighted concerns like bias in algorithms, referencing a COVID-19 incident where biased data led to the disproportionate under-prioritization of patients of color. Dr. Gao emphasized the need for diverse datasets, ethical frameworks, and human oversight to balance AI's utility with potential harms.
He advised against both fear and overconfidence in AI's role in healthcare.
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AI in healthcare: Should we approach it with caution or confidence?