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Improving Expert Radiology Report Summarization by Prompting Large
  Language Models with a Layperson Summary

Improving Expert Radiology Report Summarization by Prompting Large Language Models with a Layperson Summary

20 June 2024
Xingmeng Zhao
Tongnian Wang
Anthony Rios
    LM&MA
ArXivPDFHTML

Papers citing "Improving Expert Radiology Report Summarization by Prompting Large Language Models with a Layperson Summary"

5 / 5 papers shown
Title
ChatGPT Makes Medicine Easy to Swallow: An Exploratory Case Study on
  Simplified Radiology Reports
ChatGPT Makes Medicine Easy to Swallow: An Exploratory Case Study on Simplified Radiology Reports
Katharina Jeblick
B. Schachtner
Jakob Dexl
Andreas Mittermeier
Anna Theresa Stüber
...
Tobias Weber
Philipp Wesp
B. Sabel
J. Ricke
Michael Ingrisch
LM&MA
MedIm
103
368
0
30 Dec 2022
Improving the Factual Correctness of Radiology Report Generation with
  Semantic Rewards
Improving the Factual Correctness of Radiology Report Generation with Semantic Rewards
Jean-Benoit Delbrouck
Pierre J. Chambon
Christian Blüthgen
E. Tsai
Omar Almusa
C. Langlotz
MedIm
46
73
0
21 Oct 2022
ReAct: Synergizing Reasoning and Acting in Language Models
ReAct: Synergizing Reasoning and Acting in Language Models
Shunyu Yao
Jeffrey Zhao
Dian Yu
Nan Du
Izhak Shafran
Karthik Narasimhan
Yuan Cao
LLMAG
ReLM
LRM
223
2,413
0
06 Oct 2022
Large Language Models are Few-Shot Clinical Information Extractors
Large Language Models are Few-Shot Clinical Information Extractors
Monica Agrawal
S. Hegselmann
Hunter Lang
Yoon Kim
David Sontag
BDL
LM&MA
154
327
0
25 May 2022
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
301
11,730
0
04 Mar 2022
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