Advancing health equity: evaluating AI translations of kidney donor information for Spanish speakers
BackgroundHealth equity and access to essential medical information remain significant challenges, especially for the Spanish-speaking Hispanic population, which faces barriers in accessing living kidney donation opportunities. ChatGPT, an AI language model with sophisticated natural language proces...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Public Health |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2025.1484790/full |
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| author | Oscar A. Garcia Valencia Charat Thongprayoon Caroline C. Jadlowiec Shennen A. Mao Napat Leeaphorn Pooja Budhiraja Nadeen Khoury Justin H. Pham Iasmina M. Craici Maria L. Gonzalez Suarez Wisit Cheungpasitporn |
| author_facet | Oscar A. Garcia Valencia Charat Thongprayoon Caroline C. Jadlowiec Shennen A. Mao Napat Leeaphorn Pooja Budhiraja Nadeen Khoury Justin H. Pham Iasmina M. Craici Maria L. Gonzalez Suarez Wisit Cheungpasitporn |
| author_sort | Oscar A. Garcia Valencia |
| collection | DOAJ |
| description | BackgroundHealth equity and access to essential medical information remain significant challenges, especially for the Spanish-speaking Hispanic population, which faces barriers in accessing living kidney donation opportunities. ChatGPT, an AI language model with sophisticated natural language processing capabilities, has been identified as a promising tool for translating critical health information into Spanish. This study aims to assess ChatGPT’s translation efficacy to ensure the information provided is accurate and culturally relevant.MethodsThis study utilized ChatGPT versions 3.5 and 4.0 to translate 27 frequently asked questions (FAQs) from English to Spanish, sourced from Donate Life America’s website. The translated content was reviewed by native Spanish-speaking nephrologists using a standard rubric scale (1–5). The assessment focused on linguistic accuracy and cultural sensitivity, emphasizing retention of the original message, appropriate vocabulary and grammar, and cultural relevance.ResultsThe mean linguistic accuracy scores were 4.89 ± 0.32 for GPT-3.5 and 5.00 ± 0.00 for GPT-4.0 (p = 0.08). The percentage of excellent-quality translations (score = 5) in linguistic accuracy was 89% for GPT-3.5 and 100% for GPT-4.0 (p = 0.24). The mean cultural sensitivity scores were 4.89 ± 0.32 for both GPT-3.5 and GPT-4.0 (p = 1.00). Similarly, excellent-quality translations in cultural sensitivity were achieved in 89% of cases for both versions (p = 1.00).ConclusionChatGPT 4.0 demonstrates strong potential to enhance health equity by improving Spanish-speaking Hispanic patients’ access to LKD information through accurate and culturally sensitive translations. These findings highlight the role of AI in mitigating healthcare disparities and underscore the need for integrating AI-driven tools into healthcare systems. Future efforts should focus on developing accessible platforms and establishing guidelines to maximize AI’s impact on equitable healthcare delivery and patient education. |
| format | Article |
| id | doaj-art-f77d890d0c2a48f7bf375b9b177a5403 |
| institution | Kabale University |
| issn | 2296-2565 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Public Health |
| spelling | doaj-art-f77d890d0c2a48f7bf375b9b177a54032025-01-27T06:40:13ZengFrontiers Media S.A.Frontiers in Public Health2296-25652025-01-011310.3389/fpubh.2025.14847901484790Advancing health equity: evaluating AI translations of kidney donor information for Spanish speakersOscar A. Garcia Valencia0Charat Thongprayoon1Caroline C. Jadlowiec2Shennen A. Mao3Napat Leeaphorn4Pooja Budhiraja5Nadeen Khoury6Justin H. Pham7Iasmina M. Craici8Maria L. Gonzalez Suarez9Wisit Cheungpasitporn10Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN, United StatesDivision of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN, United StatesDivision of Transplant Surgery, Department of Surgery, Mayo Clinic, Phoenix, AZ, United StatesDepartment of Transplant Surgery, Mayo Clinic, Jacksonville, FL, United StatesDepartment of Transplant Surgery, Mayo Clinic, Jacksonville, FL, United StatesDivision of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Phoenix, AZ, United StatesDivision of Nephrology, Department of Medicine, Henry Ford Hospital, Detroit, MI, United StatesDivision of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN, United StatesDivision of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN, United StatesDivision of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN, United StatesDivision of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN, United StatesBackgroundHealth equity and access to essential medical information remain significant challenges, especially for the Spanish-speaking Hispanic population, which faces barriers in accessing living kidney donation opportunities. ChatGPT, an AI language model with sophisticated natural language processing capabilities, has been identified as a promising tool for translating critical health information into Spanish. This study aims to assess ChatGPT’s translation efficacy to ensure the information provided is accurate and culturally relevant.MethodsThis study utilized ChatGPT versions 3.5 and 4.0 to translate 27 frequently asked questions (FAQs) from English to Spanish, sourced from Donate Life America’s website. The translated content was reviewed by native Spanish-speaking nephrologists using a standard rubric scale (1–5). The assessment focused on linguistic accuracy and cultural sensitivity, emphasizing retention of the original message, appropriate vocabulary and grammar, and cultural relevance.ResultsThe mean linguistic accuracy scores were 4.89 ± 0.32 for GPT-3.5 and 5.00 ± 0.00 for GPT-4.0 (p = 0.08). The percentage of excellent-quality translations (score = 5) in linguistic accuracy was 89% for GPT-3.5 and 100% for GPT-4.0 (p = 0.24). The mean cultural sensitivity scores were 4.89 ± 0.32 for both GPT-3.5 and GPT-4.0 (p = 1.00). Similarly, excellent-quality translations in cultural sensitivity were achieved in 89% of cases for both versions (p = 1.00).ConclusionChatGPT 4.0 demonstrates strong potential to enhance health equity by improving Spanish-speaking Hispanic patients’ access to LKD information through accurate and culturally sensitive translations. These findings highlight the role of AI in mitigating healthcare disparities and underscore the need for integrating AI-driven tools into healthcare systems. Future efforts should focus on developing accessible platforms and establishing guidelines to maximize AI’s impact on equitable healthcare delivery and patient education.https://www.frontiersin.org/articles/10.3389/fpubh.2025.1484790/fullhealth equityartificial intelligencelanguage translation modelscultural competencyliving kidney donationSpanish-speaking populations |
| spellingShingle | Oscar A. Garcia Valencia Charat Thongprayoon Caroline C. Jadlowiec Shennen A. Mao Napat Leeaphorn Pooja Budhiraja Nadeen Khoury Justin H. Pham Iasmina M. Craici Maria L. Gonzalez Suarez Wisit Cheungpasitporn Advancing health equity: evaluating AI translations of kidney donor information for Spanish speakers Frontiers in Public Health health equity artificial intelligence language translation models cultural competency living kidney donation Spanish-speaking populations |
| title | Advancing health equity: evaluating AI translations of kidney donor information for Spanish speakers |
| title_full | Advancing health equity: evaluating AI translations of kidney donor information for Spanish speakers |
| title_fullStr | Advancing health equity: evaluating AI translations of kidney donor information for Spanish speakers |
| title_full_unstemmed | Advancing health equity: evaluating AI translations of kidney donor information for Spanish speakers |
| title_short | Advancing health equity: evaluating AI translations of kidney donor information for Spanish speakers |
| title_sort | advancing health equity evaluating ai translations of kidney donor information for spanish speakers |
| topic | health equity artificial intelligence language translation models cultural competency living kidney donation Spanish-speaking populations |
| url | https://www.frontiersin.org/articles/10.3389/fpubh.2025.1484790/full |
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