Talk to PathML

A digital pathology assistant for democratizing access to advanced computational image analysis

We leveraged the recent progress in medical Large Language Models (LLMs) to create a new chat interface for those who would like to get started with PathML for advanced image analysis. This was implemented by injecting all PathML examples and documentation into a Retrieval Augmented Generation (RAG) system based on GPT-4 capabilities. Our “Digital Pathology Assistant” prototype, available here, can be leveraged to build advanced end-to-end computational pipelines for specific use-cases.

In this notebook, we report specific examples of how it can be used to generate specific computational pipelines for preprocessing and analyzing different types of multiplexed images.

Example 1: Installing PathML on MacOS

Example 2: Information about supported file types

Example 3: MIF pipelines

Example 4: Nucleus Detection

Example 5: Graph API

Example 6: Inference API