Early intensive antihypertensive treatment in high-risk population of intracerebral haemorrhage expansion identified by artificial intelligence (ARCHES): study protocol for a multicentre randomised controlled trial
An AI tool can identify stroke patients most likely to benefit from aggressive blood pressure control, allowing better targeting of intensive treatment.
The ARCHES trial will randomize 680 ICH patients identified by an AI-based haematoma expansion prediction score to intensive vs. standard blood pressure reduction, testing whether AI-guided patient selection improves outcomes in this high-mortality condition. The protocol is novel in integrating a validated deep learning CT scoring system to enrich for patients most likely to benefit from aggressive BP lowering.
What the study was
- Study design
- RCT protocol (multicenter, n=680)
- Population
- ICH patients within 6h of onset at high risk of haematoma expansion by AI-based 5-point prediction score
- Sample size
- 680
- Category
- Diagnostics
- Maturity
- Exploratory
- Journal
- Trials
Why it surfaced
Important methodological advance in AI-guided trial design for stroke; score limited by protocol-only status (no results). NCT06242938 registered.
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