Comparative Evaluation of Large Language Models for Translating Radiology Reports into Hindi

Objective The aim of this study was to compare the performance of four publicly available large language models (LLMs)—GPT-4o, GPT-4, Gemini, and Claude Opus—in translating radiology reports into simple Hindi.

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Main Authors: Amit Gupta, Ashish Rastogi, Hema Malhotra, Krithika Rangarajan
Format: Article
Language:English
Published: Thieme Medical and Scientific Publishers Pvt. Ltd. 2025-01-01
Series:Indian Journal of Radiology and Imaging
Subjects:
Online Access:http://www.thieme-connect.de/DOI/DOI?10.1055/s-0044-1789618
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author Amit Gupta
Ashish Rastogi
Hema Malhotra
Krithika Rangarajan
author_facet Amit Gupta
Ashish Rastogi
Hema Malhotra
Krithika Rangarajan
author_sort Amit Gupta
collection DOAJ
description Objective The aim of this study was to compare the performance of four publicly available large language models (LLMs)—GPT-4o, GPT-4, Gemini, and Claude Opus—in translating radiology reports into simple Hindi.
format Article
id doaj-art-b0185dfa0e934b3a94901c7faf6e321a
institution Kabale University
issn 0971-3026
1998-3808
language English
publishDate 2025-01-01
publisher Thieme Medical and Scientific Publishers Pvt. Ltd.
record_format Article
series Indian Journal of Radiology and Imaging
spelling doaj-art-b0185dfa0e934b3a94901c7faf6e321a2024-12-17T23:49:11ZengThieme Medical and Scientific Publishers Pvt. Ltd.Indian Journal of Radiology and Imaging0971-30261998-38082025-01-01350108809610.1055/s-0044-1789618Comparative Evaluation of Large Language Models for Translating Radiology Reports into HindiAmit Gupta0Ashish Rastogi1Hema Malhotra2Krithika Rangarajan3Department of Radiology, Dr. Bhim Rao Ambedkar Institute-Rotary Cancer Hospital, All India Institute of Medical Sciences, New DelhiDepartment of Radiology, Dr. Bhim Rao Ambedkar Institute-Rotary Cancer Hospital, All India Institute of Medical Sciences, New DelhiDepartment of Radiology, Dr. Bhim Rao Ambedkar Institute-Rotary Cancer Hospital, All India Institute of Medical Sciences, New DelhiDepartment of Radiology, Dr. Bhim Rao Ambedkar Institute-Rotary Cancer Hospital, All India Institute of Medical Sciences, New Delhi Objective The aim of this study was to compare the performance of four publicly available large language models (LLMs)—GPT-4o, GPT-4, Gemini, and Claude Opus—in translating radiology reports into simple Hindi.http://www.thieme-connect.de/DOI/DOI?10.1055/s-0044-1789618large language modelsChatGPTradiology reportsBLEU score
spellingShingle Amit Gupta
Ashish Rastogi
Hema Malhotra
Krithika Rangarajan
Comparative Evaluation of Large Language Models for Translating Radiology Reports into Hindi
Indian Journal of Radiology and Imaging
large language models
ChatGPT
radiology reports
BLEU score
title Comparative Evaluation of Large Language Models for Translating Radiology Reports into Hindi
title_full Comparative Evaluation of Large Language Models for Translating Radiology Reports into Hindi
title_fullStr Comparative Evaluation of Large Language Models for Translating Radiology Reports into Hindi
title_full_unstemmed Comparative Evaluation of Large Language Models for Translating Radiology Reports into Hindi
title_short Comparative Evaluation of Large Language Models for Translating Radiology Reports into Hindi
title_sort comparative evaluation of large language models for translating radiology reports into hindi
topic large language models
ChatGPT
radiology reports
BLEU score
url http://www.thieme-connect.de/DOI/DOI?10.1055/s-0044-1789618
work_keys_str_mv AT amitgupta comparativeevaluationoflargelanguagemodelsfortranslatingradiologyreportsintohindi
AT ashishrastogi comparativeevaluationoflargelanguagemodelsfortranslatingradiologyreportsintohindi
AT hemamalhotra comparativeevaluationoflargelanguagemodelsfortranslatingradiologyreportsintohindi
AT krithikarangarajan comparativeevaluationoflargelanguagemodelsfortranslatingradiologyreportsintohindi