AI helps close critical data gaps on thousands of chemicals used in plastics
Researchers developed an AI framework that extracts and organizes large amounts of information about plastic chemicals from text and images. The system achieved high accuracy and completeness in extracted data, identifying 2,144 chemicals with persistence, bioaccumulation, and toxicity characteristics.