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

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.

Country : India

1 Prof. S.B. Bele2 Pratiksha Sahare3 Bhushan Dobale4 Nivedita Chaudhari5 Prathamesh Gorde

  1. MCA Department, Vidya Bharati Mahavidyalaya, Amravati, India
  2. MCA Department, Vidya Bharati Mahavidyalaya, Amravati, India
  3. MCA Department, Vidya Bharati Mahavidyalaya, Amravati, India
  4. MCA Department, Vidya Bharati Mahavidyalaya, Amravati, India
  5. MCA Department, Vidya Bharati Mahavidyalaya, Amravati, India

IRJIET, Volume 9, Issue 10, October 2025 pp. 54-60

doi.org/10.47001/IRJIET/2025.910008

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