ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2401.11505
  4. Cited By
CheX-GPT: Harnessing Large Language Models for Enhanced Chest X-ray
  Report Labeling

CheX-GPT: Harnessing Large Language Models for Enhanced Chest X-ray Report Labeling

21 January 2024
Jawook Gu
Hankyu Cho
Jiho Kim
Kihyun You
Eun K. Hong
Byungseok Roh
ArXivPDFHTML

Papers citing "CheX-GPT: Harnessing Large Language Models for Enhanced Chest X-ray Report Labeling"

8 / 8 papers shown
Title
Enhancing disease detection in radiology reports through fine-tuning
  lightweight LLM on weak labels
Enhancing disease detection in radiology reports through fine-tuning lightweight LLM on weak labels
Yishu Wei
Xindi Wang
Hanley Ong
Yiliang Zhou
Adam Flanders
George Shih
Yifan Peng
AI4MH
LM&MA
34
1
0
25 Sep 2024
Can Rule-Based Insights Enhance LLMs for Radiology Report
  Classification? Introducing the RadPrompt Methodology
Can Rule-Based Insights Enhance LLMs for Radiology Report Classification? Introducing the RadPrompt Methodology
Panagiotis Fytas
Anna Breger
Ian Selby
Simon Baker
Shahab Shahipasand
Anna Korhonen
31
0
0
07 Aug 2024
Opportunities and challenges in the application of large artificial
  intelligence models in radiology
Opportunities and challenges in the application of large artificial intelligence models in radiology
Liangrui Pan
Zhenyu Zhao
Ying Lu
Kewei Tang
Liyong Fu
Qingchun Liang
Shaoliang Peng
LM&MA
MedIm
AI4CE
45
5
0
24 Mar 2024
Conditional Generative Models are Sufficient to Sample from Any Causal
  Effect Estimand
Conditional Generative Models are Sufficient to Sample from Any Causal Effect Estimand
Md Musfiqur Rahman
Matt Jordan
Murat Kocaoglu
DiffM
CML
38
0
0
12 Feb 2024
Evaluation of GPT-3.5 and GPT-4 for supporting real-world information
  needs in healthcare delivery
Evaluation of GPT-3.5 and GPT-4 for supporting real-world information needs in healthcare delivery
Debadutta Dash
Rahul Thapa
Juan M. Banda
Akshay Swaminathan
Morgan Cheatham
...
Garret K. Morris
H. Magon
M. Lungren
Eric Horvitz
N. Shah
ELM
LM&MA
AI4MH
70
51
0
26 Apr 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
170
335
0
25 May 2022
MatSciBERT: A Materials Domain Language Model for Text Mining and
  Information Extraction
MatSciBERT: A Materials Domain Language Model for Text Mining and Information Extraction
Tanishq Gupta
Mohd Zaki
N. M. A. Krishnan
Mausam
49
178
0
30 Sep 2021
Improving Factual Completeness and Consistency of Image-to-Text
  Radiology Report Generation
Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation
Yasuhide Miura
Yuhao Zhang
Emily Bao Tsai
C. Langlotz
Dan Jurafsky
MedIm
160
157
0
20 Oct 2020
1