The research project led by Amit Mathapati at Cornell University in 2009 aims to create an advanced mathematical model, specifically an Artificial Neural Network (ANN), to improve the early detection of prostate cancer. The goal is to increase the accuracy of screening, reduce false-positive results, and thus improve patient outcomes. The study involves rigorous testing and validation procedures, along with comprehensive training of the ANN model, using diverse datasets. This innovative approach could revolutionize prostate cancer screening and contribute to higher standards of patient care and early intervention. The ultimate goal is to create a deployable and marketable solution adaptable to various healthcare settings.
Publication date: 28 Sep 2023
Project Page: Not Provided
Paper: https://arxiv.org/pdf/2309.15803
