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Generating medically-accurate summaries of patient-provider dialogue: A
  multi-stage approach using large language models

Generating medically-accurate summaries of patient-provider dialogue: A multi-stage approach using large language models

10 May 2023
Varun Nair
Elliot Schumacher
Anitha Kannan
    LM&MA
ArXivPDFHTML

Papers citing "Generating medically-accurate summaries of patient-provider dialogue: A multi-stage approach using large language models"

4 / 4 papers shown
Title
Enhancing Summarization Performance through Transformer-Based Prompt
  Engineering in Automated Medical Reporting
Enhancing Summarization Performance through Transformer-Based Prompt Engineering in Automated Medical Reporting
Daphne van Zandvoort
Laura Wiersema
Tom Huibers
S. Dulmen
S. Brinkkemper
LM&MA
MedIm
21
7
0
22 Nov 2023
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
152
327
0
25 May 2022
Leveraging Pretrained Models for Automatic Summarization of
  Doctor-Patient Conversations
Leveraging Pretrained Models for Automatic Summarization of Doctor-Patient Conversations
Longxiang Zhang
Renato M. P. Negrinho
Arindam Ghosh
V. Jagannathan
H. Hassanzadeh
Thomas Schaaf
Matthew R. Gormley
LM&MA
AI4MH
65
65
0
24 Sep 2021
Medically Aware GPT-3 as a Data Generator for Medical Dialogue
  Summarization
Medically Aware GPT-3 as a Data Generator for Medical Dialogue Summarization
Bharath Chintagunta
Namit Katariya
X. Amatriain
Anitha Kannan
LM&MA
MedIm
117
145
0
09 Sep 2021
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