# Public Interest in an AI-Enabled Clinical Decision Support Tool

**Authors:** Vishal R. Patel, Michael Liu, Anupam B. Jena

PMC · DOI: 10.1001/jamanetworkopen.2025.44672 · JAMA Network Open · 2025-11-20

## TL;DR

This study explores how much the public is interested in using AI to help with medical decisions and patient care by analyzing internet searches and website traffic.

## Contribution

The study provides new insights into public interest trends in AI-enabled clinical decision support tools through analysis of internet data.

## Key findings

- Internet searches and website traffic indicate growing public interest in AI for clinical decision-making.
- Trends suggest increasing adoption of AI tools in patient care contexts.

## Abstract

This cross-sectional study examines internet searches and website traffic to identify recent trends in the use of artificial intelligence (AI) to aid in clinical decision-making and patient care.

## Full-text entities

- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12635877/full.md

## Figures

2 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12635877/full.md

## References

6 references — full list in the complete paper: https://tomesphere.com/paper/PMC12635877/full.md

---
Source: https://tomesphere.com/paper/PMC12635877