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Artificial Intelligence Applications in Predictive Healthcare Systems

Global Nexus Journal of Multidisciplinary Research

Author
Damhills Technologies
Paper ID
GN2501242
Published
December 20, 2025
Volume / Issue
Vol — / Issue —
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Abstract

Artificial Intelligence (AI) is transforming healthcare by enabling predictive systems that anticipate patient needs and support clinical decision-making.
AI applications process large volumes of medical data to detect patterns, predict potential diseases, and personalize treatment.
Predictive healthcare systems help clinicians identify risks early, reduce errors, and optimize patient care strategies.
Machine learning, deep learning, and data analytics are key technologies driving these innovations.
The use of AI improves efficiency, reduces healthcare costs, and strengthens preventive care measures.
It enhances patient outcomes through timely and accurate diagnoses and interventions.
AI-powered solutions are increasingly applied in chronic disease management, hospital planning, and patient monitoring.
Overall, AI in predictive healthcare represents a major advancement toward proactive, data-driven medical care.

Introduction

Artificial Intelligence (AI) is revolutionizing the healthcare industry by enabling predictive systems that anticipate patient needs and improve decision-making.
AI applications analyze large volumes of medical data to detect patterns, forecast potential diseases, and provide personalized care.
Predictive healthcare systems help clinicians identify risks early, reduce errors, and optimize treatment strategies.
Machine learning, deep learning, and data analytics are key tools driving these innovations.
The integration of AI enhances efficiency, lowers healthcare costs, and supports preventive interventions.
It also improves patient outcomes by enabling timely and accurate diagnoses.
AI-powered systems are increasingly used in areas such as chronic disease management, hospital resource planning, and patient monitoring.
Overall, AI in predictive healthcare represents a significant step toward more proactive, data-driven medical care.

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