There are more AI health tools than ever—but how well do they work?
MIT Technology Review / 3/31/2026
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Key Points
- The article describes a rapid increase in AI health tools, focusing on how Microsoft’s Copilot Health and Amazon’s LLM-based Health AI aim to let users query their health information through natural language.
- It highlights that these tools differ in access scope and integration approach, such as Copilot Health’s ability to connect medical records within the Copilot app versus Amazon’s earlier restriction to One Medical members.
- A central theme is the need to assess real-world effectiveness and reliability, rather than assuming that more AI tools automatically translate into better outcomes.
- The piece suggests that evaluating accuracy, data compatibility, and clinical usefulness will be crucial as adoption grows.
Earlier this month, Microsoft launched Copilot Health, a new space within its Copilot app where users will be able to connect their medical records and ask specific questions about their health. A couple of days earlier, Amazon had announced that Health AI, an LLM-based tool previously restricted to members of its One Medical service, would…
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