AIMC Topic: Patient Education as Topic
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A Future of Self-Directed Patient Internet Research: Large Language Model-Based Tools Versus Standard Search Engines.
Annals of biomedical engineering
Mar 3, 2025
PURPOSE: As generalist large language models (LLMs) become more commonplace, patients will inevitably increasingly turn to these tools instead of traditional search engines. Here, we evaluate publicly available LLM-based chatbots as tools for patient...
The Extent to Which Artificial Intelligence Can Help Fulfill Metastatic Breast Cancer Patient Healthcare Needs: A Mixed-Methods Study.
Current oncology (Toronto, Ont.)
Mar 2, 2025
The Artificial Intelligence Patient Librarian (AIPL) was designed to meet the psychosocial and supportive care needs of Metastatic Breast Cancer (MBC) patients with HR+/HER2- subtypes. AIPL provides conversational patient education, answers user ques...
Evaluating the Performance of Artificial Intelligence for Improving Readability of Online English- and Spanish-Language Orthopaedic Patient Educational Material: Challenges in Bridging the Digital Divide.
The Journal of bone and joint surgery. American volume
Feb 28, 2025
BACKGROUND: The readability of most online patient educational materials (OPEMs) in orthopaedic surgery is above the American Medical Association/National Institutes of Health recommended reading level of sixth grade for both English- and Spanish-lan...
Man and machine: exploring the intersection of artificial intelligence and men's health.
Current opinion in urology
Feb 27, 2025
PURPOSE OF REVIEW: Explore the current state of artificial intelligence in the Men's Health space.
Evaluating large language models as a supplementary patient information resource on antimalarial use in systemic lupus erythematosus.
Lupus
Feb 27, 2025
ObjectiveTo assess the accuracy, completeness, and reproducibility of Large Language Models (LLMs) (Copilot, GPT-3.5, and GPT-4) on antimalarial use in systemic lupus erythematosus (SLE).Materials and MethodsWe utilized 13 questions derived from pati...
The Central Role of Learning in Preventing Foot Complications in Persons With Diabetes: A Scoping Review.
Journal of clinical nursing
Feb 25, 2025
BACKGROUND: Despite a variety of literature reviews, there is limited understanding of the learning strategies healthcare professionals use to help patients adopt and maintain effective foot care practices.
American academy of Orthopedic Surgeons' OrthoInfo provides more readable information regarding meniscus injury than ChatGPT-4 while information accuracy is comparable.
Journal of ISAKOS : joint disorders & orthopaedic sports medicine
Feb 21, 2025
INTRODUCTION: Over 61% of Americans seek health information online, often using artificial intelligence (AI) tools like ChatGPT. However, concerns persist about the readability and accessibility of AI-generated content, especially for individuals wit...
Evidence-Based Analysis of AI Chatbots in Oncology Patient Education: Implications for Trust, Perceived Realness, and Misinformation Management.
Journal of cancer education : the official journal of the American Association for Cancer Education
Feb 18, 2025
The rapid integration of AI-driven chatbots into oncology education represents both a transformative opportunity and a critical challenge. These systems, powered by advanced language models, can deliver personalized, real-time cancer information to p...
Predicting diabetes self-management education engagement: machine learning algorithms and models.
BMJ open diabetes research & care
Feb 18, 2025
INTRODUCTION: Diabetes self-management education (DSME) is endorsed by the American Diabetes Association (ADA) as an essential component of diabetes management. However, the utilization of DSME remains limited in the USA. This study aimed to investig...
Application of Artificial Intelligence Software to Identify Emotions of Lung Cancer Patients in Preoperative Health Education: A Cross-Sectional Study.
Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing
Feb 17, 2025
AIM(S): To determine the correlation between preoperative health education and the emotions of lung cancer patients, artificial intelligence software was used.
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