Welcome to our demo for Clinfo.ai, if you woud like to see some functionality or have a comment, open an issue on this repo.

Paper: https://arxiv.org/abs/2310.16146 Demo: https://clinfo-demo.herokuapp.com/login

Millions of medical research articles are published every year. Healthcare professionals are expected to know the latest research. However, with limited time and a broad field to cover, keeping up-to-date can be a challenging task.

Clinfo.AI searches and synthesizes medical literature tailored to a specific clinical question. By analyzing the context of the inquiry, it identifies and presents the most relevant articles.

Comparison of Clinfo.AI vs ChatGPT:

What type of questions can I ask?

Questions based on scientific evidence reported in the literature

• Examples:

1. What percentage of HIV-positive patients transmit the virus to their children?

2. When do most episodes of COVID-19 rebound after stopping paxlovid treatment?

3. Does magnesium consumption significantly improve sleep quality?

Type of questions you can’t answer with clinfo.AI

Broad questions: These types of questions could potentially be answered by clinfo.AI, but it is highly probable you won’t get what you are looking for. How to correct this type of question? Provide context.

Example Original Query: "Chest pain pediatrics" Improved Query: "What are common causes of chest pain in pediatric patients?"

Questions that would need to reference EHR or patient information: Clinfo.ai can’t access EHR data.

How it works?

HOW to add my own custom prompts?

IMPORTANT:

1. We plan to relase Clinfo.AI once we complete preliminary testing.
2. While anyone can use Clinfo.AI, our goal is to augment medical experts not replace them. Read our disclaimer disclaimer and DO NOT use clinfo.AI for diagnosis.

Cite

If you use Clinfo.ai, please consider citing:

@inproceedings{lozano2023clinfo,
  title={Clinfo. ai: An open-source retrieval-augmented large language model system for answering medical questions using scientific literature},
  author={Lozano, Alejandro and Fleming, Scott L and Chiang, Chia-Chun and Shah, Nigam},
  booktitle={PACIFIC SYMPOSIUM ON BIOCOMPUTING 2024},
  pages={8--23},
  year={2023},
  organization={World Scientific}
}