Last reviewed · How we verify
NCT06857344: AAS-GE
Reinforcement Learned Automatic Anesthesia System During Painless Gastrointestinal Endoscopy
NA trial testing AI Controlled General Anesthesia in Anesthesia Induction in 164 participants. Currently enrolling.
1 September 2025
Quick facts
| Lead sponsor | Boston Intelligent Medical Research Center, Shenzhen United Scheme Technology Co., Ltd. |
|---|---|
| Phase | NA |
| Status | Recruiting now |
| Study type | INTERVENTIONAL |
| Allocation | randomized |
| Design | parallel |
| Masking | double |
| Primary purpose | treatment |
| Enrollment | 164 |
| Start date | 1 May 2025 |
| Primary completion | 1 September 2025 |
| Estimated completion | 1 October 2025 |
| Sites | 5 locations across China |
Drugs / interventions tested
- AI Controlled General Anesthesia
- General Anesthesia (GA) — full drug profile →
Conditions studied
- Anesthesia Induction — all drugs for Anesthesia Induction →
Sponsor
Boston Intelligent Medical Research Center, Shenzhen United Scheme Technology Co., Ltd.
Who can join
Adults 18 to 65, any sex, with Anesthesia Induction. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
The goal of this clinical trial is to compare the performance difference between trained model and clinical professionals in anesthesia control during gastrointestinal endoscopy. The participants would include adults aged between 18-65 years old with ASA scores I-II. The main questions it aims to answer are: * Can AI model successfully and safely perform anesthesia during gastrointestinal endoscopy? * Researchers hypothesis that anesthesia performed by professionals is not inferior to those performed by AI model. The researchers will compare the results of the AI group with the traditional group to see if both groups have similar success rates in performing anesthesia. Participants will fast for 8 hours before the procedure, and drinking water will be prohibited for 2 hours after taking the intestinal purgatives.
Publications & conference data
1 peer-reviewed publication reference this trial (live from Europe PMC):
-
Reinforcement learning based automated anesthesia system for gastrointestinal endoscopy with a multicenter randomized trial.
Bing HL, Wang Y, Li SY, Li YW, et al · · 2026 · PMID 42056274 · DOI 10.1038/s41746-026-02657-8
Verify or expand the search:
- PubMed search for NCT06857344
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
- medRxiv preprints
- Google Scholar
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Other Boston Intelligent Medical Research Center, Shenzhen United Scheme Technology Co., Ltd. trials
Trials by the same sponsor.
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Verify against primary sources
- ClinicalTrials.gov — authoritative US registry record
- WHO ICTRP — international registry index
- EU Clinical Trials Register
- Sponsor press releases (Google)
- Trial protocol + status: ClinicalTrials.gov NCT06857344 (US National Library of Medicine, public domain)
- Publications: Europe PMC API search by NCT ID, retrieved 10 June 2026
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by Boston Intelligent Medical Research Center, Shenzhen United Scheme Technology Co., Ltd.
- Last refreshed: 15 August 2025
Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT06857344.
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