AIMC Topic: Comprehension
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SAF: An action framework to self-check the Understanding Self-Consistency of Large Language Models.
Neural networks : the official journal of the International Neural Network Society
Jul 1, 2025
Large Language Models (LLMs), which are trained on massive text data, have demonstrated remarkable advancements in language understanding capabilities. Nevertheless, it remains unclear to what extent LLMs have effectively captured and utilized the im...
Evaluating the Accuracy, Reliability, Consistency, and Readability of Different Large Language Models in Restorative Dentistry.
Journal of esthetic and restorative dentistry : official publication of the American Academy of Esthetic Dentistry ... [et al.]
Jul 1, 2025
OBJECTIVE: This study aimed to evaluate the reliability, consistency, and readability of responses provided by various artificial intelligence (AI) programs to questions related to Restorative Dentistry.
Artificial Intelligence for Patient Support: Assessing Retrieval-Augmented Generation for Answering Postoperative Rhinoplasty Questions.
Aesthetic surgery journal
Jun 16, 2025
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
Jun 12, 2025
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...
Assessing the quality and readability of ChatGPT responses to frequently asked questions about trigger finger release.
Journal of plastic, reconstructive & aesthetic surgery : JPRAS
Jun 1, 2025
Artificial intelligence, specifically large language models like ChatGPT, is rapidly transforming the healthcare landscape. As ChatGPT becomes more popular for obtaining medical information, there are concerns regarding the accuracy and quality of it...
Leveraging GPT-4 enables patient comprehension of radiology reports.
European journal of radiology
Jun 1, 2025
OBJECTIVE: To assess the feasibility of using GPT-4 to simplify radiology reports into B1-level Dutch for enhanced patient comprehension.
PRECISE framework: Enhanced radiology reporting with GPT for improved readability, reliability, and patient-centered care.
European journal of radiology
Jun 1, 2025
BACKGROUND: The PRECISE framework, defined as Patient-Focused Radiology Reports with Enhanced Clarity and Informative Summaries for Effective Communication, leverages GPT-4 to create patient-friendly summaries of radiology reports at a sixth-grade re...
RoBIn: A Transformer-based model for risk of bias inference with machine reading comprehension.
Journal of biomedical informatics
Jun 1, 2025
OBJECTIVE: Scientific publications are essential for uncovering insights, testing new drugs, and informing healthcare policies. Evaluating the quality of these publications often involves assessing their Risk of Bias (RoB), a task traditionally perfo...
Evaluating artificial intelligence chatbots for patient education in oral and maxillofacial radiology.
Oral surgery, oral medicine, oral pathology and oral radiology
Jun 1, 2025
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...
Performance of Artificial Intelligence Chatbots in Responding to Patient Queries Related to Traumatic Dental Injuries: A Comparative Study.
Dental traumatology : official publication of International Association for Dental Traumatology
Jun 1, 2025
BACKGROUND/AIM: Artificial intelligence (AI) chatbots have become increasingly prevalent in recent years as potential sources of online healthcare information for patients when making medical/dental decisions. This study assessed the readability, qua...
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