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Home / Technology / Google AI Health Summaries Under Fire for Inaccuracy

Google AI Health Summaries Under Fire for Inaccuracy

13 Jan

•

Summary

  • Google removed AI health summaries due to misleading information.
  • AI Overviews provided numbers without context for liver tests.
  • Competitors like OpenAI and Anthropic are rapidly expanding AI in healthcare.
Google AI Health Summaries Under Fire for Inaccuracy

Google has recently withdrawn certain AI-generated health summaries from its search engine after The Guardian reported instances of inaccurate and misleading information. Specifically, queries related to normal ranges for liver function tests initially provided AI Overviews that lacked essential context, such as patient demographics, raising safety concerns. Experts warned that such errors could lead to dangerous delays in medical care.

This development occurs amidst a significant surge in AI adoption within healthcare. OpenAI, for example, has seen millions of users submit health-related prompts weekly and recently launched ChatGPT Health and acquired Torch. Rival AI company Anthropic is also expanding its offerings, introducing new tools for healthcare providers and patients to utilize its Claude chatbot for tasks like prior authorization and summarizing medical records.

While the AI industry races to embed these technologies into healthcare, the incident highlights the critical need for accuracy and context, especially for sensitive health information. The potential consequences of even minor AI errors in this domain are substantial, raising questions about the readiness of current AI systems for widespread clinical application.

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Disclaimer: This story has been auto-aggregated and auto-summarised by a computer program. This story has not been edited or created by the Feedzop team.
Google removed AI health summaries because they were found to provide misleading information and lack necessary context for users.
OpenAI launched ChatGPT Health and acquired Torch, while Anthropic released new AI tools for medical providers and patients.
Risks include providing inaccurate data without context, potentially leading to delayed or incorrect medical care.

Read more news on

Technologyside-arrowAnthropicside-arrowGoogleside-arrowArtificial Intelligence (AI)side-arrow

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