Application of Artificial Intelligence in Predicting Postoperative Complications in Patients with Upper Airway Cancer: A Longitudinal Study

• Grant number: 24/10146-7
• Support Opportunities: Scholarships in Brazil - Doctorate (Direct)
• Start date: May 01, 2025
• End date: April 30, 2029
• Field of knowledge: Health Sciences - Medicine - Surgery
• Principal Investigator: Israel Tojal da Silva
• Grantee: Pedro Cesar Souza
• Host Institution: A C Camargo Cancer Center. Fundação Antonio Prudente (FAP). São Paulo , SP, Brazil

Abstract

Surgical site infection, reoperation, and readmission reflect the clinical deterioration of the patient and are indicators that measure the quality of care. In patients diagnosed with tumors in the upper airways (TVAS), clinical deterioration represents a significant burden in the oncological journey. Therefore, early detection will allow timely interventions and provide better outcomes for the patient. In this proposal, we will use Artificial Intelligence techniques, along with a database of 10,000 oncology patients who underwent surgical procedures, to predict clinical deterioration in patients with TVAS. By utilizing explainability techniques in the predictions, we hope to understand the main variables associated with these indicators.