Evaluation of postoperative hemorrhage in cardiac surgery using image analysis system and Machine learning

Evaluation of postoperative hemorrhage in cardiac surgery using image analysis system and Machine learning - Evaluation of postoperative hemorrhage in cardiac surgery using image analysis system and Machine learning

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000042452

Enrollment

500

Registered

2020-12-01

Start date

2020-12-01

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

Patients who have undergone open heart surgery

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Patients who underwent open heart surgery at Yamagata University Hospital between January 2010 and December 2020 will be included

Exclusion criteria

Exclusion criteria: Cases with missing image data Cases with missing blood loss data

Design outcomes

Primary

Measure	Time frame
To create a classifier (system) that can identify cases that require reopening of the heart in open heart surgery. Then, create a receiver operating characteristic curve for the classifier and determine the area under the curve, sensitivity and specificity.	—

Countries

Japan

Contacts

Public Contacttatsuya hayasaka

Yamagata University Faculty of Medicine Department of Anesthesia

hayasakatatsuya1101@gmail.com023-628-5400

Outcome results