چاپ صفحه |  صفحه نخست سامانه |  نویسندگان |  اطلاعات تفضیلی |  دانلود مقاله | دانشگاه علوم پزشکی تبریز |
| نویسنده ثبت کننده مقاله | منصور غفوری فرد |
| مرحله جاری مقاله | تایید نهایی |
| دانشکده/مرکز مربوطه | دانشکده پرستاری و مامائی |
| کد مقاله | 87057 |
| عنوان فارسی مقاله | کاربرد هوش مصنوعی در آموزش شخصی سازی شده به بیمار: یک مرور سیستماتیک |
| عنوان لاتین مقاله | Application of artificial intelligence in customized educational materials for patient education: a systematic review |
| نوع ارائه | پوستر |
| عنوان کنگره / همایش | practical application of artificial intelligence in medical sciences |
| نوع کنگره / همایش | بین المللی |
| کشور محل برگزاری کنگره/ همایش | |
| شهر محل برگزاری کنگره/ همایش | تبریز |
| سال انتشار/ ارائه شمسی | 1403 |
| سال انتشار/ارائه میلادی | 2025 |
| تاریخ شمسی شروع و خاتمه کنگره/همایش | 1403/11/13 الی 1403/11/17 |
| آدرس لینک مقاله/ همایش در شبکه اینترنت | www.TabrizVAI.ir |
| آدرس علمی (Affiliation) نویسنده متقاضی | Mansour Ghafourifard |
| نویسنده | نفر چندم مقاله |
|---|---|
| منصور غفوری فرد | اول |
| فاطمه رادی ماهر | دوم |
| عنوان | متن |
|---|---|
| خلاصه مقاله | Background Clear and reliable information is essential for people who are ill. Patients are constantly exposed to vast quantities of patient education materials, but of variable quality. However, the accuracy and quality of patient education materials are crucial for informed decision-making. These materials should be written at a level that is understandable for patients with low health literacy and should also maintain a high quality of content. Artificial Intelligence (AI) chatbots, trained on an extensive corpus of medical literature, generate patient education materials that should be considered. This review aims to assess the application of artificial intelligence in patient education. Methods We systematically searched the PubMed/MEDLINE, Scopus, Ovid, and Embase database using the keywords of artificial intelligence and patient education. Two reviewers assessed study eligibility and performed study screening. Inclusion criteria are as follows: publication between January 2000 and Dec 2025, various modalities of AI, English language, and AI use in patient education. Results The results showed that AI-driven platforms can analyze patient data to deliver customized educational materials that match the patient's health literacy level, preferences, and learning styles. Additionally, chatbots and virtual health assistants offer real-time support, addressing patient queries and guiding them through complex medical information. The use of AI also enables the continuous assessment of patient understanding and retention of information, allowing for timely interventions and adjustments in educational approaches. Furthermore, the paper discusses the ethical considerations and challenges associated with implementing AI in patient education, such as data privacy, accessibility, and the need for human oversight. Overall, the application of AI in patient education holds significant promise for improving health outcomes, enhancing patient empowerment, and fostering a more informed patient population. Conclusions The findings of this review suggest that AI has the potential to both improve and hinder the quality and readability of patient education content. In summary, the application of AI in patient education is a promising development that can enhance the quality of care, improve patient outcomes, and foster a more informed and engaged patient community. As the healthcare sector continues to evolve, embracing these innovations will be critical in achieving a patient-centered approach to education and care. Additionally, no studies were found in this context that assessed AI-generated content in Persian, which indicates a significant research gap, especially in a society with a low average health literacy level and a growing use of AI tools. More research is needed to investigate the impact of different AI models and training data on the quality and readability of patient education materials. Furthermore, studies that directly assess patient understanding and comprehension of AI-generated materials are crucial to fully understand the impact of these technologies on patient health outcomes. Considering these points in the development of patient education materials, healthcare providers and researchers can leverage these technologies to create more effective and accessible health information for patients. |
| کلمات کلیدی | patient education materials, artificial intelligence |
| نام فایل | تاریخ درج فایل | اندازه فایل | دانلود |
|---|---|---|---|
| fatemeh radimaher.jpg | 1403/12/15 | 1811615 | دانلود |
| Application of artificial intelligence in customized educational materials for patient education.docx | 1403/12/15 | 13331 | دانلود |
