AI –Driven Personalised Medicine: Enhancing Healthcare
IJRTI2512132
Volume 10, Issue 12
Page b243-b248
December 2025
205,626 Downloads
PublishedOpen AccessResearch PaperTransparent Peer ReviewedCC BY 4.0
ISSN2456-3315
Impact Factor10.57
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Paper Title
AI –Driven Personalised Medicine: Enhancing Healthcare
Authors
Anushya R , Vinay S , Priyanka K R
Keywords
Artificial Intelligence in Healthcare, Personalized Medicine, Hybrid AI Systems, Generative AI, Rule-Based Expert Systems, Symptom Checker, Multimodal Medical Analysis, Multilingual Voice Interfaces, Clinical Decision Support, Digital Health Platforms
Abstract
: In a time when getting reliable healthcare information quickly is essential, language barriers and the complexity of medical data often hinder effective self-care. This project introduces "AI Personalised Medicine," an intelligent health assistant designed to connect modern medical technology with accessible wellness advice.
The application has a hybrid design that combines Generative AI with a Rule-Based Engine to ensure safety. Unlike regular chatbots, AI Personalised Medicine uses a "Dual-Engine" approach. It offers users both modern medical advice and traditional Ayurvedic home remedies for each diagnosis. Key features include a Symptom Checker that takes into account patient vitals, medical history, age, and gender.
To improve accessibility, the system includes Multimodal (Medical Vision), allowing users to upload images of skin issues or lab reports for review. The platform supports over 10 Indian languages with full voice interaction, making healthcare advice available to non-English speakers. Other features include a personalized 7-Day Diet Planner, a Drug Interaction Safety Checker, and a GPS-enabled Doctor Locator
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IJRTI — journal style
"AI –Driven Personalised Medicine: Enhancing Healthcare", IJRTI - International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.10, Issue 12, page no.b243-b248, December-2025, Available :https://ijrti.org/papers/IJRTI2512132.pdf
APA — 7th edition
R, A., S, V., & R, P. K. (2025). AI –Driven Personalised Medicine: Enhancing Healthcare. International Journal for Research Trends and Innovation, 10(12), b243-b248. https://ijrti.org/viewpaperforall.php?paper=IJRTI2512132
MLA — 9th edition
R, Anushya, et al. "AI –Driven Personalised Medicine: Enhancing Healthcare." International Journal for Research Trends and Innovation, vol. 10, no. 12, 2025, pp. b243-b248, https://ijrti.org/viewpaperforall.php?paper=IJRTI2512132.
Chicago — 17th, bibliography
R, Anushya, Vinay S, and Priyanka K R. "AI –Driven Personalised Medicine: Enhancing Healthcare." International Journal for Research Trends and Innovation 10, no. 12 (2025): b243-b248. https://ijrti.org/viewpaperforall.php?paper=IJRTI2512132.
Harvard — author–date
R, A., S, V. and R, P.K. (2025) 'AI –Driven Personalised Medicine: Enhancing Healthcare', International Journal for Research Trends and Innovation, 10(12), pp. b243-b248. Available at: https://ijrti.org/viewpaperforall.php?paper=IJRTI2512132
IEEE — numbered reference
A. R, V. S and P. K. R, "AI –Driven Personalised Medicine: Enhancing Healthcare," IJRTI, vol. 10, no. 12, pp. b243-b248, Dec. 2025.
Vancouver — biomedical
R A, S V, R PK. AI –Driven Personalised Medicine: Enhancing Healthcare. IJRTI. 2025 Dec;10(12):b243-b248.
AMA — 11th edition
R A, S V, R PK. AI –Driven Personalised Medicine: Enhancing Healthcare. IJRTI. 2025;10(12):b243-b248. Accessed at https://ijrti.org/viewpaperforall.php?paper=IJRTI2512132
BibTeX — Zotero, Mendeley, LaTeX
@article{IJRTI2512132,
author = {Anushya R and Vinay S and Priyanka K R},
title = {AI –Driven Personalised Medicine: Enhancing Healthcare},
journal = {International Journal for Research Trends and Innovation},
volume = {10},
number = {12},
pages = {b243-b248},
year = {2025},
month = {December},
issn = {2456-3315},
url = {https://ijrti.org/viewpaperforall.php?paper=IJRTI2512132}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - R, Anushya
AU - S, Vinay
AU - R, Priyanka K
TI - AI –Driven Personalised Medicine: Enhancing Healthcare
T2 - International Journal for Research Trends and Innovation
JA - IJRTI
VL - 10
IS - 12
PY - 2025
SN - 2456-3315
UR - https://ijrti.org/viewpaperforall.php?paper=IJRTI2512132
SP - b243-b248
ER -
International Journal for Research Trends and InnovationPublished by IJRTI (JW Publication)
2456-3315ISSN
10.57Impact Factor
2016ESTD Year
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Impact Factor 10.57 calculated by Google Scholar and Semantic Scholar.
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Declarations
Funding
No external funding was received for this study.
Conflict of Interest
The authors declare that they have no conflict of interest.
Acknowledgements
The authors would like to thank the reviewers and the editorial board of International Journal for Research Trends and Innovation for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.