How is Machine Learning Integrated into Robotic Systems in Histology?
Machine learning algorithms are increasingly integrated into robotic systems to enhance their capabilities. These algorithms can analyze large datasets to identify patterns and anomalies, improving diagnostic accuracy. For instance, machine learning can aid in the automated detection of pathological features in tissue samples, such as cancerous cells, by training on extensive datasets of histological images.
