Medi-Intel Engine

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Authors: Ms. Naznin A Qayyum Shaikh, Vandana C. Maindargi, Dr. P. S. Kolhe
Cited by: 0

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.

Fields of Study & Subjects

Artificial Intelligence in Healthcare Artificial Intelligence in Healthcare and Education Machine Learning in Healthcare

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
1 January 2026