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

Artificial Intelligence in Diagnostic Healthcare

Prof.S.B.BeleDepartment of MCA, Vidya Bharti Mahavidyalaya, Amravati, Maharashtra, IndiaKarunesh DeshmukhDepartment of MCA, Vidya Bharti Mahavidyalaya, Amravati, Maharashtra, IndiaPuja HoodDepartment of MCA, Vidya Bharti Mahavidyalaya, Amravati, Maharashtra, IndiaRutika DhandeDepartment of MCA, Vidya Bharti Mahavidyalaya, Amravati, Maharashtra, IndiaSajal KaleDepartment of MCA, Vidya Bharti Mahavidyalaya, Amravati, Maharashtra, India

Vol 9 No 10 (2025): Volume 9, Issue 10, October 2025 | Pages: 164-168

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 03-11-2025

doi Logo doi.org/10.47001/IRJIET/2025.910022

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Abstract

Artificial Intelligence, or AI, is changing the way doctors diagnose diseases by mixing computer power with medical knowledge. It helps doctors make quicker and more accurate decisions based on data, allowing them to catch illnesses sooner and with more precision. This paper looks at how AI is used to improve diagnosis through methods like machine learning, deep learning, and understanding human language. It covers real examples of AI being used in medical scans, studying tissue samples, and predicting health issues. The paper also talks about the advantages, challenges, and important questions about using AI in medicine. It shows how AI can help reduce mistakes, work faster, and support tailored treatments for patients. The study also looks at problems like keeping patient information safe, making AI decisions clear, and following rules. It finishes by saying that using AI in a smart and responsible way can make healthcare better, fairer, and more available for everyone.

Keywords

Artificial Intelligence, Machine Learning, Diagnostic Healthcare, Deep Learning, Medical Imaging, Predictive Analytics


Citation of this Article

Prof.S.B.Bele, Karunesh Deshmukh, Puja Hood, Rutika Dhande, & Sajal Kale. (2025). Artificial Intelligence in Diagnostic Healthcare. International Research Journal of Innovations in Engineering and Technology - IRJIET, 9(10), 164-168. Article DOI https://doi.org/10.47001/IRJIET/2025.910022

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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