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BMC Medical Informatics and Decision Making
Published in: BMC Medical Informatics and Decision Making 1/2023

Open Access 01-12-2023 | Prostate Cancer | Research

Prostate cancer detection using e-nose and AI for high probability assessment

Authors: J. B. Talens, J. Pelegri-Sebastia, T. Sogorb, J. L. Ruiz

Published in: BMC Medical Informatics and Decision Making | Issue 1/2023

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Abstract

This research aims to develop a diagnostic tool that can quickly and accurately detect prostate cancer using electronic nose technology and a neural network trained on a dataset of urine samples from patients diagnosed with both prostate cancer and benign prostatic hyperplasia, which incorporates a unique data redundancy method. By analyzing signals from these samples, we were able to significantly reduce the number of unnecessary biopsies and improve the classification method, resulting in a recall rate of 91% for detecting prostate cancer. The goal is to make this technology widely available for use in primary care centers, to allow for rapid and non-invasive diagnoses.
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Metadata
Title
Prostate cancer detection using e-nose and AI for high probability assessment
Authors
J. B. Talens
J. Pelegri-Sebastia
T. Sogorb
J. L. Ruiz
Publication date
01-12-2023
Publisher
BioMed Central
Published in
BMC Medical Informatics and Decision Making / Issue 1/2023
Electronic ISSN: 1472-6947
DOI
https://doi.org/10.1186/s12911-023-02312-2

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