AI and Pathology: Steering Treatment and Predicting Outcomes

• URL: http://arxiv.org/abs/2206.07573v1
• Date: Wed, 15 Jun 2022 14:55:30 GMT
• Title: AI and Pathology: Steering Treatment and Predicting Outcomes
• Abstract summary: We describe the rich set of application challenges related to tissue interpretation and survey AI methods. We focus on a particular class of targeted human tissue analysis - histopathology - aimed at quantitative characterization of disease state, patient outcome prediction and treatment steering.
• Score: 1.365100962983716
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: The combination of data analysis methods, increasing computing capacity, and improved sensors enable quantitative granular, multi-scale, cell-based analyses. We describe the rich set of application challenges related to tissue interpretation and survey AI methods currently used to address these challenges. We focus on a particular class of targeted human tissue analysis - histopathology - aimed at quantitative characterization of disease state, patient outcome prediction and treatment steering.

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