Generative AI models are currently incapable of delivering safe and accurate information on medical topics, as highlighted by LMArena's findings. Research indicates that users are increasingly relying on AI sources like ChatGPT for medical advice, often trusting these models more than healthcare professionals, despite their inaccuracies. A comparison of models such as GPT-5 reveals that they perform inadequately in biomedical research contexts, lacking the necessary reasoning and expertise to support biomedical scientists adequately. This raises concerns about the potential risks associated with misinformation in healthcare.
AI models such as GPT-5 and those from Google, Anthropic, and Meta fail to provide safe and accurate outputs for medical inquiries, creating significant concern.
Current AI models do not meet the stringent reasoning and domain-specific requirements essential in biomedical science, leading to a critical knowledge gap affecting researchers.
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