Development of vital signs prediction model using artificial intelligence:Supporting clinical decision.

Creating a model to support clinical decision by predicting intraoperative vital signs using artificial Intelligence - Creating a model to support clinical decision by predicting intraoperative vital signs using artificial Intelligence

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000044665

Enrollment

40000

Registered

2021-07-01

Start date

2021-07-01

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

Patient for operation under general anesthesia

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Patients who underwent surgery under the anesthesiologist in the operating room of Kansai Rosai Hospital from July 2011

Exclusion criteria

Exclusion criteria: If the patient or the patient's guardian refuses to participate in the research. Patients who are judged inappropriate by the principal investigator

Design outcomes

Primary

Measure	Time frame
Intraoperative vital signs: systolic blood pressure, mean blood pressure, diastolic blood pressure, heart rate.	—

Countries

Japan

Contacts

Public ContactHiroshi Ueyama

Kansai Rosai Hospital Department of Anesthesiology

ueyama-hiroshi@kansaih.johas.go.jp06-6416-1221

Outcome results