AIMC Topic: Patient Education as Topic

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Characteristics of outpatient clinical summaries in the United States.

International journal of medical informatics
In the United States, federal regulations require that outpatient practices provide a clinical summary to ensure that patients understand what transpired during their appointment and what to do before the next visit. To determine whether clinical sum...

The effect of a supplementary ('Gist-based') information leaflet on colorectal cancer knowledge and screening intention: a randomized controlled trial.

Journal of behavioral medicine
Guided by Fuzzy Trace Theory, this study examined the impact of a 'Gist-based' leaflet on colorectal cancer screening knowledge and intentions; and tested the interaction with participants' numerical ability. Adults aged 45-59 years from four UK gene...

AI-driven simplification of surgical reports in gynecologic oncology: A potential tool for patient education.

Acta obstetricia et gynecologica Scandinavica
INTRODUCTION: The emergence of large language models heralds a new chapter in natural language processing, with immense potential for improving medical care and especially medical oncology. One recent and publicly available example is Generative Pret...

A literature review on the role of artificial intelligence-based chatbots in patient education in colorectal surgery.

Surgery
INTRODUCTION: Artificial intelligence-based chatbots are becoming increasingly used in patient education, in the realm of colorectal diseases. Perhaps, not surprisingly, concerns about the appropriateness of chatbot answers have been raised by health...

Artificial Intelligence for Patient Support: Assessing Retrieval-Augmented Generation for Answering Postoperative Rhinoplasty Questions.

Aesthetic surgery journal
BACKGROUND: Although artificial intelligence (AI) is revolutionizing healthcare, inaccurate or incomplete information from pretrained large language models (LLMs) like ChatGPT poses significant risks to patient safety. Retrieval-augmented generation ...

Artificial intelligence in patient care: evaluating artificial intelligence's accuracy and accessibility in addressing blepharoplasty concerns.

International ophthalmology
PURPOSE: Artificial Intelligence (AI) is rapidly advancing and profoundly influencing healthcare, offering the potential to revolutionize access to medical information. As medical misinformation proliferates and online searches for health-related adv...

Evaluating artificial intelligence chatbots for patient education in oral and maxillofacial radiology.

Oral surgery, oral medicine, oral pathology and oral radiology
OBJECTIVE: This study aimed to compare the quality and readability of the responses generated by 3 publicly available artificial intelligence (AI) chatbots in answering frequently asked questions (FAQs) related to Oral and Maxillofacial Radiology (OM...

Comparative evaluation of responses from DeepSeek-R1, ChatGPT-o1, ChatGPT-4, and dental GPT chatbots to patient inquiries about dental and maxillofacial prostheses.

BMC oral health
BACKGROUND: Artificial intelligence chatbots have the potential to inform and guide patients by providing human-like responses to questions about dental and maxillofacial prostheses. Information regarding the accuracy and qualifications of these resp...

Application of AI Chatbot in Responding to Asynchronous Text-Based Messages From Patients With Cancer: Comparative Study.

Journal of medical Internet research
BACKGROUND: Telemedicine, which incorporates artificial intelligence such as chatbots, offers significant potential for enhancing health care delivery. However, the efficacy of artificial intelligence chatbots compared to human physicians in clinical...