International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Deep Learning-Based Medical Diagnosis Systems Using Artificial Neural Networks: A Comprehensive Review

Prof. S.B. BeleMCA Department, Vidya Bharati Mahavidyalaya, Amravati, IndiaPratiksha SahareMCA Department, Vidya Bharati Mahavidyalaya, Amravati, IndiaBhushan DobaleMCA Department, Vidya Bharati Mahavidyalaya, Amravati, IndiaNivedita ChaudhariMCA Department, Vidya Bharati Mahavidyalaya, Amravati, IndiaPrathamesh GordeMCA Department, Vidya Bharati Mahavidyalaya, Amravati, India

Vol 9 No 10 (2025): Volume 9, Issue 10, October 2025 | Pages: 54-60

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 22-10-2025

doi Logo doi.org/10.47001/IRJIET/2025.910008

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Abstract

The rapid advancements in Artificial Intelligence (AI), particularly in Deep Learning (DL) and Artificial Neural Networks (ANNs), have revolutionized various sectors, with medical diagnosis emerging as a prominent beneficiary. This paper provides a comprehensive review of deep learning-based medical diagnosis systems utilizing ANNs, drawing insights from recent research. We explore the fundamental concepts, architectural designs, and diverse applications of these systems across a spectrum of medical conditions, including cardiovascular diseases, various cancers, neurological disorders, and respiratory illnesses. Furthermore, we delve into the challenges associated with implementing these advanced technologies, such as data requirements, labelling complexities, model interpretability, and ethical considerations. By synthesizing information from multiple studies, this paper aims to offer a structured understanding of the current landscape, future prospects, and critical areas for further research in deep learning-driven medical diagnosis.

Keywords

Deep Learning, Artificial Neural Networks, Medical Diagnosis, Machine Learning, Image Processing, Healthcare AI, Convolutional Neural Networks, Residual Networks


Citation of this Article

Prof. S.B. Bele, Pratiksha Sahare, Bhushan Dobale, Nivedita Chaudhari, & Prathamesh Gorde. (2025). Deep Learning-Based Medical Diagnosis Systems Using Artificial Neural Networks: A Comprehensive Review. International Research Journal of Innovations in Engineering and Technology - IRJIET, 9(10), 54-60. Article DOI https://doi.org/10.47001/IRJIET/2025.910008

Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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