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Enhancing Pandemic Preparedness With AI-Driven Risk Prediction Models

Muhammad Usman Tariq

2024Advances in healthcare information systems and administration book series17 citationsDOI

Abstract

This chapter investigates the groundbreaking job of artificial intelligence driven risk forecast models in improving pandemic readiness and worldwide wellbeing security. AI technologies have emerged as essential tools for early detection, risk assessment, and management of infectious disease outbreaks in light of the increasing frequency and complexity of pandemics. The section looks at how computer-based intelligence applications, including AI and high-level information investigation, empower the distinguishing proof of possible pandemic dangers, prescient displaying of infection spread, and enhancement of general wellbeing reactions. The chapter highlights the benefits and drawbacks of incorporating AI into pandemic preparedness strategies through real-world examples and case studies. Privacy and ethical issues are also discussed, with a focus on the necessity of using AI responsibly in public health.

Topics & Concepts

PreparednessPandemicComputer scienceRisk analysis (engineering)Coronavirus disease 2019 (COVID-19)BusinessPolitical scienceMedicineDiseaseInfectious disease (medical specialty)LawPathologyCOVID-19 diagnosis using AIAnomaly Detection Techniques and ApplicationsMachine Learning in Healthcare
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