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.

翻译：数据分析方法的结合、计算能力的提高以及传感器的改进使得能够进行量性颗粒、多尺度、基于细胞的分析。我们描述了与组织解释有关的大量应用挑战,以及目前用来应对这些挑战的调查AI方法。我们侧重于特定类别的有针对性的人体组织分析,即病理学,目的是对疾病状态、病人结果预测和治疗指导进行定量定性。