Abstract
Access to timely and accurate medical care remains a major challenge in both urban and rural regions, primarily due to unequal distribution of healthcare resources, shortages of qualified doctors, and delays in diagnosis. This research presents a modern AI-driven medical treatment system designed to improve healthcare delivery for patients in urban and rural areas alike. The proposed system integrates artificial intelligence techniques—such as machine learning-based diagnosis, symptom assessment, electronic health record (EHR) analysis, and predictive analytics—to assist healthcare professionals in making faster and more reliable decisions. It also incorporates remote patient monitoring, automated triage, and AI-enabled telemedicine to ensure continuous care for rural populations with limited access to hospitals. A QR-code–based patient data retrieval model is used to provide instant access to medical history, previous treatments, and medication logs, thereby reducing errors and improving treatment accuracy. The findings demonstrate that AI-enabled medical systems significantly enhance diagnostic precision, reduce treatment delays, improve patient management, and support resource-strained rural healthcare centres. This research highlights the potential of AI as a transformative tool for building an inclusive, efficient, and accessible healthcare ecosystem for all.
Keywords
Artificial Intelligence (AI), Healthcare Automation, Remote Patient Monitoring, Telemedicine, Machine Learning Diagnosis, Rural Healthcare Accessibility, Urban Healthcare Systems, QR-Code Medical Records, Predictive Analytics, Electronic Health Records (EHR), Smart Health Systems, Clinical Decision Support, Digital Health, Medical Data Management, Automated Triage.
Citations
IRE Journals:
Sahil Pisal, Lokesh Chaudhari, Aakash Mavkar, Suraj Mandhare, Prof R R Bhuvad "Modern Medical Treatments with AI to Urban and Rural Area Patients: A Review" Iconic Research And Engineering Journals Volume 9 Issue 5 2025 Page 880-886 https://doi.org/10.64388/IREV9I5-1712037
IEEE:
Sahil Pisal, Lokesh Chaudhari, Aakash Mavkar, Suraj Mandhare, Prof R R Bhuvad
"Modern Medical Treatments with AI to Urban and Rural Area Patients: A Review" Iconic Research And Engineering Journals, 9(5) https://doi.org/10.64388/IREV9I5-1712037
About IRE Journals
IRE Journals is an open access online journals established with an aim to publish high quality of research work in various diciplines. We have more than 6 years in publications. Over 2500+ papers already published.
Important Links
For Authors
Volume 8:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12Volume 7:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12Volume 6:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12Volume 5:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12Volume 4:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12Volume 3:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12