Artificial Intelligence in Multilingual Interpretation and Radiology Assessment for Clinical Language Evaluation...

Area of Science:

• Medical Informatics
• Natural Language Processing
• Artificial Intelligence in Healthcare

Background:

• Radiology reports contain complex medical information that can be difficult for patients to understand.
• Language barriers further hinder patient comprehension of crucial health data.

Purpose of the Study:

• To evaluate the effectiveness of ChatGPT 4.0 in translating and simplifying radiology reports into multiple languages.
• To assess the accuracy and clarity of AI-generated translations for non-medical readers.

Main Methods:

• ChatGPT 4.0 was used to translate and simplify radiology reports into Vietnamese, Tagalog, Spanish, Mandarin, and Arabic.
• Bilingual physicians evaluated the translations' accuracy and clarity via surveys.
• Hindi was used for preliminary questionnaire validation.

Main Results:

• Participant feedback indicated mixed results regarding the accuracy and clarity of translated and simplified reports.
• The study observed varying levels of success across different languages, highlighting inconsistencies in performance.
• ChatGPT 4.0 demonstrated potential but also limitations in its current translation capabilities.

Conclusions:

• Large language models show promise for improving healthcare communication and patient comprehension by overcoming language barriers.
• Inconsistent performance across languages necessitates further AI model refinement and more inclusive training data.
• Advancements in AI are crucial, especially for translating low-resource languages in medical settings.