# Chatbot assistance in precision oncology treatment decision-making

## TL;DR

This paper evaluates how well AI chatbots can help make cancer treatment decisions using complex patient data.

## Contribution

The study is novel in assessing chatbots' accuracy in interpreting clinical and molecular data for precision oncology.

## Key findings

- Chatbots provided mostly accurate and comprehensive treatment recommendations.
- Key treatment options were occasionally omitted by chatbots.
- Non-data driven treatments were recommended in cases with multiple mutations.

## Abstract

Artificial intelligence chatbots have shown promise in medical settings, but their ability to interpret complex molecular data is not clear. Here, we assessed 50 different patient scenarios with clinical and molecular data and found that chatbots provided mostly accurate and comprehensive recommendations, although key treatment options were omitted occasionally, and non-data driven treatments were recommended in cases with multiple mutations.