AI-Driven Prediction for Detection of Pulmonary Embolism in CT Scans

Identifier:  TFM:1892

Handle: https://hdl.handle.net/20.500.11797/TFM1892

Authors:  Gutiérrez Pascual, Joan Pau

Abstract:
This project aims to develop an AI algorithm to detect pulmonary embolisms, showcasing AI’s potential in medical diagnostics. Inspired by my grandfather’s passing from an undiagnosed embolism, this research seeks to contribute to early detection and prevention. By using a sandbox environment like Kaggle, the study highlights AI’s transformative power in improving diagnostic accuracy. The goal is to demonstrate AI’s capability to prevent future losses by enhancing the detection of life-threatening conditions, emphasizing the significant impact these technologies could have on healthcare.