ReviewNPJ science of food2026
Artificial intelligence in food safety.
Review in NPJ science of food, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Food Intelligent Quality and Safety Analysis: From Data-Driven to Data-Mechanism Hybrid-Driven Paradigm.Foods (Basel, Switzerland) · 2026Review
- Artificial Intelligence in Foodborne Pathogen Detection from Sensing to Food Safety Systems: A Systematic Review.Foods (Basel, Switzerland) · 2026Review
- Artificial intelligence in food safety.NPJ science of food · 2026Review
- Impact of Farm Management Practices onFoods (Basel, Switzerland) · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Artificial Intelligence (AI) is revolutionizing many fields including food safety. In food safety, the available data generated within the agrifood systems can potentially feed into AI applications. This review presents an overview of the use of AI in different fields of food safety. The study introduces a framework of AI in food safety, focusing on the research domain, application context, data collection method, and AI technique. The AI tool ASReview, which uses active learning to select top-priority papers, was used to conduct the study in a systematic way. Over 150 peer-reviewed journal publications were reviewed and described according to this framework. The review concludes with a summary of the challenges for AI in food safety and an outlook of future opportunities for AI in food safety.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.