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Artificial Intelligence for Predicting and Prioritizing Microbiological Hazards in Food Safety Inspection Systems: A PRISMA-Compliant Systematic Review (2020–2025)

2026-04-14

Abstract excerpt

<title>Abstract</title> <p>Background Foodborne diseases represent a persistent and escalating global public health challenge, with the World Health Organization estimating approximately 600 million cases and 420,000 deaths annually. Traditional food safety regulatory frameworks, characterized by reactive inspection models and conventional microbial testing, are increasingly inadequate in the face of complex int...

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Literature Corpus work
e97d8e05-596d-5ee9-ae26-127432069bd7
DOI
10.21203/rs.3.rs-9403175/v1
Open publication

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Artificial Intelligence for Predicting and Prioritizing Microbiological Hazards in Food Safety Inspection Systems: A PRISMA-Compliant Systematic Review (2020–2025)DOI 10.21203/rs.3.rs-9403175/v1
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