AIMC Topic: Patient Education as Topic
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Enhancing online cataract surgery patient education materials through artificial intelligence.
Canadian journal of ophthalmology. Journal canadien d'ophtalmologie
Aug 17, 2024
OBJECTIVE: To assess the feasibility of using artificial intelligence (AI) to improve readability of online cataract surgery patient education materials (PEMs) in English and Spanish.
Chatbots talk Strabismus: Can AI become the new patient Educator?
International journal of medical informatics
Aug 16, 2024
BACKGROUND: Strabismus is a common eye condition affecting both children and adults. Effective patient education is crucial for informed decision-making, but traditional methods often lack accessibility and engagement. Chatbots powered by AI have eme...
Can Patients With Urogenital Cancer Rely on Artificial Intelligence Chatbots for Treatment Decisions?
Clinical genitourinary cancer
Aug 14, 2024
OBJECTIVES: In the era of artificial intelligence, almost half of the patients use the internet to get information about their diseases. Our study aims to demonstrate the reliability of the information provided by artificial intelligence chatbots (AI...
The utility of artificial intelligence platforms for patient-generated questions in Mohs micrographic surgery: a multi-national, blinded expert panel evaluation.
International journal of dermatology
Aug 9, 2024
BACKGROUND: Artificial intelligence (AI) and large language models (LLMs) transform how patients inform themselves. LLMs offer potential as educational tools, but their quality depends upon the information generated. Current literature examining AI a...
Can artificial intelligence models serve as patient information consultants in orthodontics?
BMC medical informatics and decision making
Jul 29, 2024
BACKGROUND: To evaluate the accuracy, reliability, quality, and readability of responses generated by ChatGPT-3.5, ChatGPT-4, Gemini, and Copilot in relation to orthodontic clear aligners.
Using artificial intelligence to generate medical literature for urology patients: a comparison of three different large language models.
World journal of urology
Jul 29, 2024
PURPOSE: Large language models (LLMs) are a form of artificial intelligence (AI) that uses deep learning techniques to understand, summarize and generate content. The potential benefits of LLMs in healthcare is predicted to be immense. The objective ...
Evaluating AI in patient education: The need for a validated performance assessment tool.
American journal of otolaryngology
Jul 26, 2024
Enhancing Diabetes Management for Older Patients: The Potential Role of ChatGPT.
Geriatrics & gerontology international
Jul 15, 2024
Artificial intelligence (AI) technology has the potential to improve diabetes education for older individuals with diabetes. However, as AI becomes integrated into healthcare, it will be important to ensure even greater accuracy and establish a frame...
Evaluation of online chat-based artificial intelligence responses about inflammatory bowel disease and diet.
European journal of gastroenterology & hepatology
Jul 8, 2024
INTRODUCTION: The USA has the highest age-standardized prevalence of inflammatory bowel disease (IBD). Both genetic and environmental factors have been implicated in IBD flares and multiple strategies are centered around avoiding dietary triggers to ...
Evaluation of Online AI-Generated Foot and Ankle Surgery Information.
The Journal of foot and ankle surgery : official publication of the American College of Foot and Ankle Surgeons
Jul 3, 2024
As a natural progression from educational pamphlets to the worldwide web, and now artificial intelligence (AI), OpenAI chatbots provide a simple way of obtaining pathology-specific patient information, however, little is known concerning the readabil...
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