Large language models in simplifying radiological reports: systematic review

Y Artsi, V Sorin, E Konen, BS Glicksberg, G Nadkarni… - medRxiv, 2024 - medrxiv.org
Objectives Simplifying medical information to make it understandable for patients,
specifically in the case of radiology reports, is challenging. It requires time and effort from …

Simplifying radiologic reports with natural language processing: a novel approach using ChatGPT in enhancing patient understanding of MRI results

S Schmidt, A Zimmerer, T Cucos, M Feucht… - Archives of orthopaedic …, 2024 - Springer
Purpose The aim of this prospective cohort study was to assess the factual accuracy,
completeness of medical information, and potential harmfulness of incorrect conclusions by …

Generating colloquial radiology reports with large language models

CC Tang, S Nagesh, DA Fussell… - Journal of the …, 2024 - academic.oup.com
Objectives Patients are increasingly being given direct access to their medical records.
However, radiology reports are written for clinicians and typically contain medical jargon …

Understanding Health-Related Social Risks

F Dako, N Holden, A Narayan, C Guerra - Journal of the American College …, 2024 - jacr.org
Because of the established contribution of social factors to health outcomes, approaches
that address upstream determinants of health have increasingly been recognized as cost …

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

S Tripathi, L Mutter, M Muppuri, S Dheer… - arXiv preprint arXiv …, 2024 - arxiv.org
This study introduces and evaluates the PRECISE framework, utilizing OpenAI's GPT-4 to
enhance patient engagement by providing clearer and more accessible chest X-ray reports …

Patient-and Family-Centered Care in Radiology: Lessons Learned and Next Steps

TS Cook, M Samples, A Krishnaraj - Journal of the American College of …, 2024 - jacr.org
In the nearly 10 years since the ACR's Commission on Patient-and Family-Centered Care
(PFCC) was formed, diagnostic radiology has refocused its attention on putting the patient at …

Remotely shared CT‐derived presurgical understanding of lung cancer: A randomized trial

SH Yoon, KJ Na, CH Kang, IK Park, S Park… - Thoracic …, 2022 - Wiley Online Library
Shared decision‐making is imperative for patient‐and family‐centered care. However,
gathering individuals in a single place was challenged by modern life and pandemic …

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

A Gupta, A Rastogi, H Malhotra… - Indian Journal of …, 2025 - thieme-connect.com
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 …

Knowledge, Attitudes, And Practices Toward Artificial Intelligence In Veterinary Medicine With An Emphasis On Diagnostic Imaging

O Ofer - 2024 - atrium.lib.uoguelph.ca
Artificial intelligence (AI) is an exciting new technology that has the potential to greatly
improve veterinary medicine and especially veterinary diagnostic imaging. In recent years …