AIMC Topic: Comprehension
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Battle of the authors: Comparing neurosurgery articles written by humans and AI.
Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia
May 1, 2025
BACKGROUND: The advancement of artificial intelligence (AI) has led to its application in various fields, including medical literature. This study compares the quality of neurosurgery articles written by human authors and those generated by ChatGPT, ...
Assessing the quality and readability of patient education materials on chemotherapy cardiotoxicity from artificial intelligence chatbots: An observational cross-sectional study.
Medicine
Apr 11, 2025
Artificial intelligence (AI) and the introduction of Large Language Model (LLM) chatbots have become a common source of patient inquiry in healthcare. The quality and readability of AI-generated patient education materials (PEM) is the subject of man...
Readability, reliability and quality of responses generated by ChatGPT, gemini, and perplexity for the most frequently asked questions about pain.
Medicine
Mar 14, 2025
It is clear that artificial intelligence-based chatbots will be popular applications in the field of healthcare in the near future. It is known that more than 30% of the world's population suffers from chronic pain and individuals try to access the h...
AI meets informed consent: a new era for clinical trial communication.
JNCI cancer spectrum
Mar 3, 2025
Clinical trials are fundamental to evidence-based medicine, providing patients with access to novel therapeutics and advancing scientific knowledge. However, patient comprehension of trial information remains a critical challenge, as registries like ...
The use of large language models to enhance cancer clinical trial educational materials.
JNCI cancer spectrum
Mar 3, 2025
BACKGROUND: Adequate patient awareness and understanding of cancer clinical trials is essential for trial recruitment, informed decision making, and protocol adherence. Although large language models (LLMs) have shown promise for patient education, t...
Composition as Nonlinear Combination in Semantic Space: A Computational Characterization of Compound Processing.
Cognitive science
Feb 1, 2025
Most Chinese words are compounds formed through the combination of meaningful characters. Yet, due to compositional complexity, it is poorly understood how this combinatorial process affects the access to the whole-word meaning. In the present study,...
Enhancing Patient Education on Cardiovascular Rehabilitation with Large Language Models.
Missouri medicine
Jan 1, 2025
INTRODUCTION: There are barriers that exist for individuals to adhere to cardiovascular rehabilitation programs. A key driver to patient adherence is appropriately educating patients. A growing education tool is using large language models to answer ...
Readability and Appropriateness of Responses Generated by ChatGPT 3.5, ChatGPT 4.0, Gemini, and Microsoft Copilot for FAQs in Refractive Surgery.
Turkish journal of ophthalmology
Dec 31, 2024
OBJECTIVES: To assess the appropriateness and readability of large language model (LLM) chatbots' answers to frequently asked questions about refractive surgery.
Generating colloquial radiology reports with large language models.
Journal of the American Medical Informatics Association : JAMIA
Nov 1, 2024
OBJECTIVES: Patients are increasingly being given direct access to their medical records. However, radiology reports are written for clinicians and typically contain medical jargon, which can be confusing. One solution is for radiologists to provide ...
Future Perspective of Risk Prediction in Aesthetic Surgery: Is Artificial Intelligence Reliable?
Aesthetic surgery journal
Oct 15, 2024
BACKGROUND: Artificial intelligence (AI) techniques are showing significant potential in the medical field. The rapid advancement in artificial intelligence methods suggests their soon-to-be essential role in physicians' practices.
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