Recent studies from the US and UK highlight significant concerns regarding the reliability of AI-powered health guidance. Researchers at Mount Sinai revealed that generative AI models, like ChatGPT and Gemini, frequently disseminate misinformation and biases in medical contexts. Their findings showed hallucination rates as high as 82%, risking misinforming patients and clinicians. Similarly, a study from the London School of Economics found that these AI tools often downplay women’s health issues, leading to potential gender bias in care decisions. While AI models offer benefits in reducing administrative burdens, the studies emphasize the urgent need for robust safeguards and bias evaluations in AI technology used in healthcare. As British Prime Minister Keir Starmer pushes for AI expansion, the integration of enterprise blockchain technology is vital to ensure data integrity and quality, making it essential for AI’s successful implementation in healthcare settings.
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