The Potential of Virtual Reality to Improve the Accuracy and Efficiency of Pregnancy Detection: A Comparative Study

Paper ID: 45

Abstract

This study compares three ultrasound interpretation methods—Virtual Reality (VR) visualization, Machine Learning (ML) automation, and manual interpretation—for pregnancy diagnosis. Using a large ultrasound dataset, the study demonstrates that ML improves diagnostic accuracy, while VR enhances user engagement and comprehension, offering insights for future clinical applications.

Keywords

Virtual RealityPregnancy DetectionUltrasound

Authors & Affiliations

Tahmina Tahrim

Khandokar Nafis Jaman

Md. Abu Layek

Md. Ashraful Alam

Jagannath University, Dhaka-1100, Bangladesh

Bangladesh Army University of Engineering and Technology, Natore, Bangladesh

Publication Details

Conference

IEEE CS BDC SYMPOSIUM 2024

Date

Nov 22-23, 2024

Location

Jagannath University, Dhaka, Bangladesh

Publisher

IEEE Computer Society Bangladesh Chapter