AIMC Topic: Patient Education as Topic

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Improving readability of shoulder and elbow surgery online patient education material with Chat GPT (Chat Generative Pretrained Transformer) 4.

Journal of shoulder and elbow surgery
BACKGROUND: Health literacy is crucial for effective doctor-patient communication, particularly for surgical patients who need to comprehend complex procedures and care protocols. The American Medical Association and National Institutes of Health sug...

Comprehensibility and readability of selected artificial intelligence chatbots in providing uveitis-related information.

Medicine
This study aims to evaluate and compare the quality and comprehensibility of responses generated by 5 artificial intelligence chatbots - ChatGPT-4, Claude, Mistral, Grok, and Google PaLM - to the most frequently asked questions about uveitis. Google ...

Evaluating the quality and readability of online information about hidradenitis suppurativa: a systematic review.

Clinical and experimental dermatology
Hidradenitis suppurativa (HS) is a chronic inflammatory skin disorder associated with considerable physical, psychological and social burdens. Despite increasing recognition, diagnostic delays remain common, often prompting patients to seek informati...

Bridging Health Literacy Gaps in Spine Care: Using ChatGPT-4o to Improve Patient-Education Materials.

The Journal of bone and joint surgery. American volume
BACKGROUND: Patient-education materials (PEMs) are essential to improve health literacy, engagement, and treatment adherence, yet many exceed the recommended readability levels. Therefore, individuals with limited health literacy are at a disadvantag...

Short Research Article: Evaluation of an artificial intelligence language model in psychiatric patient education.

Child and adolescent mental health
BACKGROUND: The incorporation of artificial intelligence (AI) and machine learning (ML) into medicine has enhanced clinical information processing. ChatGPT, an AI language model, has demonstrated proficiency in generating human-like responses to comp...

Leveraging Large Language Models to Enhance Patient Educational Resources in Rhinology.

The Annals of otology, rhinology, and laryngology
BACKGROUND: To compare the readability of patient education materials (PEMs) on rhinologic conditions and procedures from the American Rhinologic Society (ARS) with those generated by large language models (LLMs).

Applications of Natural Language Processing in Otolaryngology: A Scoping Review.

The Laryngoscope
OBJECTIVE: To review the current literature on the applications of natural language processing (NLP) within the field of otolaryngology.

Assessment and comparison of artificial intelligence-generated information regarding shoulder arthroplasty from multiple interfaces.

Journal of shoulder and elbow surgery
BACKGROUND: This study aims to analyze and compare the quality, accuracy, and readability of information regarding anatomic total shoulder arthroplasty (aTSA) and reverse total shoulder arthroplasty (rTSA) provided by various AI interfaces (Open AI's...

Artificial intelligence for TB education and counselling: a modified Delphi consensus.

The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease
BACKGROUNDOptimal TB care and control requires improved health education and effective patient counselling. Effective counselling is a lengthy process that requires addressing all questions related to TB transmission, risk, the di...

Supporting Personalized prEgnancy Care wIth Artificial inteLligence (SPECIAL): An Acceptability Study of a Personalized Educational Platform.

Studies in health technology and informatics
Postpartum depression (PPD) affects approximately 20% of pregnant individuals, yet half of these cases remain under-treated despite the availability of educational interventions. To address this gap, the Supporting Personalized prEgnancy Care wIth Ar...