Pathology is the study of the causes and effects of disease. A pathologist is a medical professional who evaluates patient samples to determine whether or not they have a particular disease. In many serious diseases such as cancer, a pathologist’s evaluation is considered the gold standard or ground truth and has a profound impact on a patient’s life. Unfortunately, various studies in the community have found that discordance amongst pathologists is common leading to errors in diagnoses which can lead to worse patient outcomes. At PathAI, we have demonstrated the ability of using artificial intelligence to aid pathologists in making better diagnoses and as well in the discovery of new biomarkers that can be used to predict response to potential life saving treatments.
A Pathology AI system is a computer program that assists pathologists in their work or provides
automated pathology. The key capability of a Pathology AI system is to analyze digital slide images using
image analysis and machine learning. Machine learning allows to learn a task from data, like providing a
diagnosis or a score, or a subtask, like classifying cells into different cell types. There are many
approaches in machine learning, including decision trees, random forests, and deep learning
