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Research on the construction of an automatic control system for general anesthesia applying artificial intelligence

Research on the construction of an automatic control system for general anesthesia applying artificial intelligence - Research on the construction of an automatic control system for general anesthesia applying artificial intelligence

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
JPRN
Registry ID
JPRN-UMIN000047549
Enrollment
1000
Registered
2023-01-01
Start date
2022-07-01
Completion date
Unknown
Last updated
2026-06-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Adult patients undergoing non-cardiac surgery under general anesthesia

Interventions

None listed

Sponsors

Tohoku University Graduate School of Dentistry,Division of Dento-oral Anesthesiology
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Adult patients undergoing non-cardiac surgery under general anesthesia

Exclusion criteria

Exclusion criteria: (1) Patients under 20 years old (2) Cardiac surgery patients (3) Patients with serious complications

Design outcomes

Primary

MeasureTime frame
a) Patient information (height, weight, age, complications) b) Vital signs (mean blood pressure, heart rate, SpO2, EtCO2, body temperature, BIS value) c) Patient information (height, weight, age, complications) d) Dosage of various anesthetics (sevoflurane, desflurane, propofol, remifentanil, fentanyl, rocuronium, sugammadex) e) Intraoperative drugs (ephedrine, atropine sulfate, neocinedin, perdipine, adrenaline, steroids) f) Infusion information (infusion volume, blood transfusion volume, urine volume)

Countries

Japan

Contacts

Public ContactHiroshi Hoshijima

Tohoku University Graduate School of Dentistry Division of Dento-oral Anesthesiology

hhoshi6@gmail.com022-717-8420

Outcome results

None listed

Source: JPRN (via WHO ICTRP) · Data processed: Jul 3, 2026