．Outline．

In the past decade, advances in precision oncology have increased the demand for predictive assays that enable the selection and stratification of patients for treatment. The potential of AI in pathology is to create image analysis tools that could either be used for diagnostic support or derive novel insights into disease biology, in addition to those achievable with a human observer. The possibility of digitizing whole-slide images of tissue has led to the advent of artificial intelligence (AI) and machine learning tools in digital pathology, enabling mining of sub-visual morphometric phenotypes and, ultimately, improving patient management.

In this seminar, we invite the data scientist and doctors from Changhua Christian Hospital, National Taiwan University Hospital, and aetherAI to share the AI-powered diagnostic support system on assisting pathology digitalization and bringing healthcare to the next level.