Medi-Intel Engine

Authors

  • Naznin A. Qayyum Shaikh Department of Electronics & Telecommunication Engineering, Terna College of Engineering, Dharashiv, India
  • V. C. Maindargi Department of Electronics & Telecommunication Engineering, Terna College of Engineering, Dharashiv, India
  • P. S. Kolhe Department of Electronics & Telecommunication Engineering, Terna College of Engineering, Dharashiv, India

DOI:

https://doi.org/10.65138/ijramt.2026.v7i1.3185

Abstract

Medi-Intel Engine is an AI driven system which supports accurate and timely clinical decision making. Medi-Intel Engine leverages machine learning techniques and data analytics to enable efficient health monitoring, disease prediction, and decision support. The system integrates heterogeneous healthcare data, including electronic health records, physiological signals, and lifestyle parameters, to extract meaningful patterns and assess health risks. Advanced learning models are employed to analyze patient data and generate predictive insights that assist healthcare professionals in early diagnosis and preventive care. The proposed Medi-Intel Engine is designed to improve diagnostic accuracy, reduce clinical workload, and enhance overall healthcare efficiency. Unlike humans, artificial intelligence does not require rest. AI systems can be employed to continuously monitor critical indicators of patients receiving primary care and find clinicians when particular risk factors rise. As AI models are capable of learning and retaining patterns, they can deliver personalized, real-time recommendations to patients on a continuous basis.

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Published

20-01-2026

Issue

Section

Articles

How to Cite

[1]
N. A. Q. Shaikh, V. C. Maindargi, and P. S. Kolhe, “Medi-Intel Engine”, IJRAMT, vol. 7, no. 1, pp. 37–40, Jan. 2026, doi: 10.65138/ijramt.2026.v7i1.3185.

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