Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{171936,
author = {Shreya Ravi Kumar and Neha R and Sneha R},
title = {DIAGNOSIS OF ACUTE DISEASES IN VILLAGES AND SMALLER TOWNS USING AI},
journal = {International Journal of Innovative Research in Technology},
year = {2025},
volume = {11},
number = {8},
pages = {1396-1405},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=171936},
abstract = {Healthcare has changed as an effect of artificial intelligence's remarkable accuracy and efficiency in medical diagnostics. A technology named artificial intelligence (AI) lets computers along with additional machines to mimic human abilities such as understanding, problem-solving, innovative thinking, autonomy, and the decision-making process Applications and devices with AI capabilities possess the ability to recognize and understand objects. They are able to decode and give response to human speech. AI is transforming the way illnesses are recognized, evaluated, and treated, especially in the field of medical diagnostics. Using machine learning and deep learning algorithms, AI can swiftly and effectively understand enormous quantities of data, offering healthcare professionals insightful information. These developments not only increase the accuracy of diagnoses but also make it possible for early diagnosis and customized treatment plans. In the early days, AI was primarily employed for administrative duties, but its use has risen significantly. Massive quantities of data can now be accurately and quickly evaluated by AI and machine learning systems, which helps healthcare professionals make better decisions. Medical practice can be revolutionised by these technologies, which can interpret medical pictures, discover trends, and even predict the course of diseases. Access to effective healthcare is usually limited in neglected and rural areas, leading to mediocre health outcomes and delayed diagnosis. Existing ways of resolving this issue, such as telemedicine, have struggled to grow in parallel with growing demands for healthcare. According to this method, a system driven by artificial intelligence would be able to comprehend a large volume of medical data, identify symptoms, and converse with patients in order to find out about their medical concerns. The advent of advanced AI-powered technology and the growing popularity of smart assistants like Google and Alexa signal the beginning of an era of change in healthcare innovation.},
keywords = {Artificial intelligence., Random Forest Classifier, XGBoost,Disease Prediction, healthcare.},
month = {January},
}
Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.
Join NowNational Conference on Sustainable Engineering and Management - 2024 Last Date: 15th March 2024
Submit inquiry