# HemaGuide AI Agent Achieves 82% Alignment With Expert Tumor Board Decisions for Blood Cancers

> Researchers at Heidelberg University have built HemaGuide, a locally deployable AI agent that takes messy, unstructured clinical documents and turns them into structured cases, then recommends a treatment path for blood cancers. Tested on 555 cases from an independent hospital, its recommendations lined up with an expert tumor board 82% of the time, across 47 different blood cancer types. The design is more careful than a single chatbot answer. The agent routes each case through one of three specialized modes, guideline, advanced or molecular, and grounds its reasoning in disease flowcharts plus more than 2,000 real tumor board cases rather than open-ended generation. It runs locally, which matters for hospitals wary of sending patient data to outside servers, and the work cleared an ethics committee review. Tumor boards, where specialists meet to decide complex cancer cases, are exactly where expertise is scarce and slow to schedule. An agent that agrees with them four times out of five is not a replacement, but it hints at a realistic near-term role: triage, second opinions, and extending scarce specialist judgment to hospitals that lack it.

_Section: [Daily AI Updates](https://www.wortins.com/daily-ai) · Source: Nature Medicine · Published Monday, August 17, 2026_

## Wortins' read

Researchers at Heidelberg University have built HemaGuide, a locally deployable AI agent that takes messy, unstructured clinical documents and turns them into structured cases, then recommends a treatment path for blood cancers. Tested on 555 cases from an independent hospital, its recommendations lined up with an expert tumor board 82% of the time, across 47 different blood cancer types. The design is more careful than a single chatbot answer. The agent routes each case through one of three specialized modes, guideline, advanced or molecular, and grounds its reasoning in disease flowcharts plus more than 2,000 real tumor board cases rather than open-ended generation. It runs locally, which matters for hospitals wary of sending patient data to outside servers, and the work cleared an ethics committee review. Tumor boards, where specialists meet to decide complex cancer cases, are exactly where expertise is scarce and slow to schedule. An agent that agrees with them four times out of five is not a replacement, but it hints at a realistic near-term role: triage, second opinions, and extending scarce specialist judgment to hospitals that lack it.

## Source

[Read the full story at Nature Medicine](https://www.nature.com/articles/s41591-026-04494-4)

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