Computer vision can automate the analysis of histopathological images, which are crucial for the assessment of tissue damage caused by toxic substances. By employing deep learning algorithms, computers can detect patterns and anomalies in tissues that may be indicative of toxic effects, thus reducing the time and subjectivity associated with manual analysis.
Moreover, computer vision can facilitate the high-throughput screening of chemical compounds. Automated image analysis allows for the rapid evaluation of large datasets, identifying potentially harmful substances more efficiently than traditional methods. This capability is particularly important for regulatory agencies tasked with ensuring the safety of numerous chemicals in commerce.
