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Active Not Recruiting
NCT07875114
Machine Learning for Transfusion Prediction in Oncologic Surgery
Conditions: Blood Transfusion
Sex: All
Ages: 18 Years – N/A
Healthy volunteers: No
Enrollment: 950
Sponsor: Kocaeli City Hospital
Location: Kocaeli City Hospital Kocaeli
Summary
This study aims to use artificial intelligence to predict intraoperative bleeding and blood loss in advance for oncologic surgeries with high bleeding risk. The goal is to more accurately determine the type and amount of blood products reserved for patients, improving the efficient use of blood bank resources.
Eligibility Criteria
Inclusion Criteria:
* Patients over 18 years of age
* Underwent oncologic surgery
* ASA physical status I-III
Exclusion Criteria:
* Underwent emergency surgery
* Hematologic disease
* Pregnancy
* Incomplete data
* Underwent cardiac surgery
Source: ClinicalTrials.gov (NCT07875114). StuddyBuddy aggregates publicly available trial information.
