Loading Now

Summary of Precise Framework: Gpt-based Text For Improved Readability, Reliability, and Understandability Of Radiology Reports For Patient-centered Care, by Satvik Tripathi et al.


PRECISE Framework: GPT-based Text For Improved Readability, Reliability, and Understandability of Radiology Reports For Patient-Centered Care

by Satvik Tripathi, Liam Mutter, Meghana Muppuri, Suhani Dheer, Emiliano Garza-Frias, Komal Awan, Aakash Jha, Michael Dezube, Azadeh Tabari, Christopher P. Bridge, Dania Daye

First submitted to arxiv on: 20 Feb 2024

Categories

  • Main: Computation and Language (cs.CL)
  • Secondary: Artificial Intelligence (cs.AI); Human-Computer Interaction (cs.HC); Machine Learning (cs.LG)

     Abstract of paper      PDF of paper


GrooveSquid.com Paper Summaries

GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!

Summary difficulty Written by Summary
High Paper authors High Difficulty Summary
Read the original abstract here
Medium GrooveSquid.com (original content) Medium Difficulty Summary
The proposed PRECISE framework leverages OpenAI’s GPT-4 to improve patient engagement by generating clearer chest X-ray reports at a sixth-grade reading level. The framework is evaluated on 500 reports, showing significant enhancements in readability, reliability, and understandability through statistical analyses. This study highlights the potential of the PRECISE approach to facilitate patient-centric care delivery in healthcare decision-making.
Low GrooveSquid.com (original content) Low Difficulty Summary
The PRECISE framework helps patients better understand their chest X-ray reports by making them easier to read. Scientists tested this idea on 500 reports and found it worked really well. The reports became more readable, reliable, and easy to understand. This could be an important step forward in helping doctors and patients work together.

Keywords

* Artificial intelligence  * Gpt