Evidence map›Paper›PMID 42021277›Full record

ArticleTrials2026

AI-driven navigated hematoma aspiration vs. conservative treatment for spontaneous intracerebral hemorrhage: study protocol for a randomized controlled trial.

Xinghua Xu, Jiashu Zhang, Qingzhen Yuan, Shengkun Lang, Zhichao Gan, Haitao Jin, Xiaolei Chen

Registry-linked trialAbstract readClinical Trial Protocol
In one paragraph

Article in Trials, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07077343 (Comparison of AI-assisted Navigated Hematoma Aspiration With Conservative Treatment for Spontaneous Intracerebral Hemorrhage), which is not on this map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT07077343 narecruitingnot on this map

Comparison of AI-assisted Navigated Hematoma Aspiration With Conservative Treatment for Spontaneous Intracerebral Hemorrhage: A Multicenter Randomized Controlled Trial

TypeinterventionalSponsorXiaolei ChenRan2025 to 2031Enrolled680ConditionsIntracerebral HemorrhageArmsAI-Assisted Navigated Hematoma Aspiration, Conservative Treatment
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Xinghua Xu *Department of Neurosurgery, The First Medical Center of Chinese, PLA General Hospital, 28th Fuxing Road, Beijing, 100853, China. dr_xxh@126.com.
Jiashu Zhang *Department of Neurosurgery, The First Medical Center of Chinese, PLA General Hospital, 28th Fuxing Road, Beijing, 100853, China.
Qingzhen Yuan *Department of Neurosurgery, The First Medical Center of Chinese, PLA General Hospital, 28th Fuxing Road, Beijing, 100853, China.
Shengkun LangDepartment of Neurosurgery, The First Medical Center of Chinese, PLA General Hospital, 28th Fuxing Road, Beijing, 100853, China.
Zhichao GanDepartment of Neurosurgery, The First Medical Center of Chinese, PLA General Hospital, 28th Fuxing Road, Beijing, 100853, China.
Haitao JinDepartment of Neurosurgery, The First Medical Center of Chinese, PLA General Hospital, 28th Fuxing Road, Beijing, 100853, China.
Xiaolei ChenDepartment of Neurosurgery, The First Medical Center of Chinese, PLA General Hospital, 28th Fuxing Road, Beijing, 100853, China. cda301@126.com.ORCID http://orcid.org/0000-0002-3407-621X

Funding

National Natural Sciences Foundation of China 82272134
6 · The paper itself

Abstract

backgroundSpontaneous intracerebral hemorrhage (ICH) remains one of the most devastating types of stroke, with high mortality and long-term disability. Minimally invasive hematoma evacuation techniques have been developed to improve outcomes by reducing hematoma volume while minimizing surgical trauma compared with conventional craniotomy or conservative treatment. Artificial intelligence (AI) and neuronavigation enable optimized trajectory planning, real-time intraoperative guidance, and individualized treatment strategies, potentially leading to improved clinical outcomes compared with conservative treatment. This study aims to compare the efficacy and safety of AI-driven navigated hematoma aspiration with conservative therapy.

methodsThis multicenter, prospective, randomized controlled, open-label trial with blinded outcome assessment will enroll approximately 680 patients with spontaneous supratentorial ICH (20-50 mL) within 24 h of onset and a Glasgow Coma Scale (GCS) score ≥ 8. Eligible patients aged 18-80 years will be randomly assigned in a 1:1 ratio to receive either AI-assisted, navigation-guided hematoma aspiration plus best medical therapy or best medical therapy alone. Randomization will be centralized and stratified by center. The primary outcome is functional status at 6 months, assessed by the modified Rankin Scale, with mRS 0-2 defined as a favorable outcome. Secondary outcomes include mortality, hematoma volume reduction, neurological function, complications, quality of life, length of hospital stay, and cost-effectiveness. DISCUSSION: This trial is designed to provide robust evidence on the efficacy and safety of AI-guided hematoma aspiration for ICH. If successful, it has the potential to support a precise and minimally invasive treatment strategy and improve clinical outcomes.

trial registrationClinical Trials NCT07077343. Registered on July 21, 2025.

Indexed as

Artificial IntelligenceCerebral HemorrhageConservative TreatmentHematomaNeuronavigationAdolescentAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedMulticenter Studies as TopicProspective StudiesRandomized Controlled Trials as Topic

Identifiers

PMID42021277
PMCPMC13238109

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.