دورية أكاديمية

Heart-to-heart with ChatGPT: the impact of patients consulting AI for cardiovascular health advice

التفاصيل البيبلوغرافية
العنوان: Heart-to-heart with ChatGPT: the impact of patients consulting AI for cardiovascular health advice
المؤلفون: Jes Sanddal Lindholt, Marie Dahl, Anton Danholt Lautrup, Tobias Hyrup, Anna Schneider-Kamp, Peter Schneider-Kamp
المصدر: Open Heart, Vol 10, Iss 2 (2023)
بيانات النشر: BMJ Publishing Group, 2023.
سنة النشر: 2023
المجموعة: LCC:Diseases of the circulatory (Cardiovascular) system
مصطلحات موضوعية: Diseases of the circulatory (Cardiovascular) system, RC666-701
الوصف: Objectives The advent of conversational artificial intelligence (AI) systems employing large language models such as ChatGPT has sparked public, professional and academic debates on the capabilities of such technologies. This mixed-methods study sets out to review and systematically explore the capabilities of ChatGPT to adequately provide health advice to patients when prompted regarding four topics from the field of cardiovascular diseases.Methods As of 30 May 2023, 528 items on PubMed contained the term ChatGPT in their title and/or abstract, with 258 being classified as journal articles and included in our thematic state-of-the-art review. For the experimental part, we systematically developed and assessed 123 prompts across the four topics based on three classes of users and two languages. Medical and communications experts scored ChatGPT’s responses according to the 4Cs of language model evaluation proposed in this article: correct, concise, comprehensive and comprehensible.Results The articles reviewed were fairly evenly distributed across discussing how ChatGPT could be used for medical publishing, in clinical practice and for education of medical personnel and/or patients. Quantitatively and qualitatively assessing the capability of ChatGPT on the 123 prompts demonstrated that, while the responses generally received above-average scores, they occupy a spectrum from the concise and correct via the absurd to what only can be described as hazardously incorrect and incomplete. Prompts formulated at higher levels of health literacy generally yielded higher-quality answers. Counterintuitively, responses in a lower-resource language were often of higher quality.Conclusions The results emphasise the relationship between prompt and response quality and hint at potentially concerning futures in personalised medicine. The widespread use of large language models for health advice might amplify existing health inequalities and will increase the pressure on healthcare systems by providing easy access to many seemingly likely differential diagnoses and recommendations for seeing a doctor for even harmless ailments.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2053-3624
Relation: https://openheart.bmj.com/content/10/2/e002455.full; https://doaj.org/toc/2053-3624
DOI: 10.1136/openhrt-2023-002455
URL الوصول: https://doaj.org/article/a7053d24a7a647b9adf93404fb009665
رقم الأكسشن: edsdoj.7053d24a7a647b9adf93404fb009665
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:20533624
DOI:10.1136/openhrt-2023-002455