Transforming Healthcare with Intelligence: AI-Driven Diagnostics and the Evolution of Personalized Medicine
K. Sathiyamurthi, A. Sundar Raj, N. Ragavi, M. Jeevadharshini
2025
Abstract
Brain tumors are an important health challenges globally, with substantial consequences for individuals and health-care systems. This Automated Brain Tumour Detection proposes to make use of Googles "Teachable Machine" Tool To lead to a breakthrough in medical imaging and diagnostics based on machine learning and artificial intelligence. After training the "Teachable Machine" with various MRI images (tumour and non-tumor), this model can be converted to a user interface for doctors to submit MRI and get automatic answers regarding the presence of tumours in the scan instantaneously. The potential impact of this research is enormous in sufficiently improving the efficiency and accuracy of brain tumour diagnosis. The process remains time-consuming to interpret the MRI image and there is high chance of error based on the human subjectivity unlike the proposed automated detection technique which will allow early intervention and improved outcome of the patient. In addition, by using the "Teachable Machine" platform provided by Google, they are affordable and use a small amount of processing power and do not require any specialized hardware. The democratization of sophisticated technical tools can be a boon to healthcare systems around the world.
DownloadPaper Citation
in Harvard Style
Sathiyamurthi K., Raj A., Ragavi N. and Jeevadharshini M. (2025). Transforming Healthcare with Intelligence: AI-Driven Diagnostics and the Evolution of Personalized Medicine. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 686-692. DOI: 10.5220/0013903900004919
in Bibtex Style
@conference{icrdicct`2525,
author={K. Sathiyamurthi and A. Raj and N. Ragavi and M. Jeevadharshini},
title={Transforming Healthcare with Intelligence: AI-Driven Diagnostics and the Evolution of Personalized Medicine},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={686-692},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013903900004919},
isbn={978-989-758-777-1},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - Transforming Healthcare with Intelligence: AI-Driven Diagnostics and the Evolution of Personalized Medicine
SN - 978-989-758-777-1
AU - Sathiyamurthi K.
AU - Raj A.
AU - Ragavi N.
AU - Jeevadharshini M.
PY - 2025
SP - 686
EP - 692
DO - 10.5220/0013903900004919
PB - SciTePress