# AI and Pathology: Steering Treatment and Predicting Outcomes

arXiv: https://arxiv.org/abs/2206.07573 · HTML: https://mlsanity.com/paper/2206.07573/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 0 of its 3 references that are in the map.
- First posted on arXiv 15 Jun 2022.

## Abstract (arXiv)

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.