# A Comparison of Diagnostic and Immunohistochemical Workup and Literature Review Capabilities of Online Artificial Intelligence Assistance Models in Pathology

## TL;DR

This study compares how well different AI models can help pathologists make accurate diagnoses using medical scenarios.

## Contribution

The study evaluates AI models' diagnostic accuracy in pathology using crafted medical vignettes.

## Key findings

- AI models varied in their ability to generate accurate differential diagnoses.
- A pathologist assessed and identified the most accurate AI model for each scenario.
- The results highlight the potential of AI to support diagnostic decision-making in pathology.

## Abstract

Artificial intelligence (AI) is a suite of technologies that enables computers to learn and interpret information like human cognition. It has found applications across various fields, including healthcare, agriculture, astronomy, navigation, and robotics. Within healthcare, AI has the potential to enhance diagnostic accuracy, facilitate drug research, and automate patient experiences. This comparative study focuses on the proficiency of AI in generating accurate differential diagnoses in the field of pathology. Six medical vignettes were crafted, and each scenario was then input into three different AI platforms. The pathologist reviewed and determined the most accurate AI model.