Utilizing AI and Machine Learning to Assess Carcinogenic Risks in Frozen Foods

Abstract

The potential carcinogenic risks of frozen foods have raised public health concerns, necessitating advanced analytical approaches to identify harmful substances and predict long-term health impacts. This paper employs AI and machine learning techniques to analyze large datasets on frozen food consumption and associated health outcomes. We identify patterns and risk factors linked to carcinogenic substances in frozen foods, providing insights into their impact on cancer incidence. The study also explores the potential of AI/ML in developing predictive models for food safety and regulatory frameworks.