AIMC Topic: Consumer Health Information
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Online content on eating disorders: a natural language processing study.
Journal of communication in healthcare
Jul 23, 2024
BACKGROUND: Online content can inform the personal risk of developing an eating disorder, and it can influence the time and motivation to seek treatment. Patients routinely seek information online, and access to information is crucial for both preven...
Enhancing Readability of Online Patient-Facing Content: The Role of AI Chatbots in Improving Cancer Information Accessibility.
Journal of the National Comprehensive Cancer Network : JNCCN
May 15, 2024
BACKGROUND: Internet-based health education is increasingly vital in patient care. However, the readability of online information often exceeds the average reading level of the US population, limiting accessibility and comprehension. This study inves...
To trust or not to trust: evaluating the reliability and safety of AI responses to laryngeal cancer queries.
European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery
Apr 23, 2024
PURPOSE: As online health information-seeking surges, concerns mount over the quality and safety of accessible content, potentially leading to patient harm through misinformation. On one hand, the emergence of Artificial Intelligence (AI) in healthca...
Dr. Google to Dr. ChatGPT: assessing the content and quality of artificial intelligence-generated medical information on appendicitis.
Surgical endoscopy
Mar 5, 2024
INTRODUCTION: Generative artificial intelligence (AI) chatbots have recently been posited as potential sources of online medical information for patients making medical decisions. Existing online patient-oriented medical information has repeatedly be...
AutoDiscern: rating the quality of online health information with hierarchical encoder attention-based neural networks.
BMC medical informatics and decision making
Jun 9, 2020
BACKGROUND: Patients increasingly turn to search engines and online content before, or in place of, talking with a health professional. Low quality health information, which is common on the internet, presents risks to the patient in the form of misi...
Concept based auto-assignment of healthcare questions to domain experts in online Q&A communities.
International journal of medical informatics
Mar 6, 2020
BACKGROUND: Healthcare consumers are increasingly turning to the online health Q&A communities to seek answers for their questions because current general search engines are unable to digest complex health-related questions. Q&A communities are platf...
What do patients learn about psychotropic medications on the web? A natural language processing study.
Journal of affective disorders
Sep 10, 2019
BACKGROUND: Low rates of medication adherence remain a major challenge across psychiatry. In part, this likely reflects patient concerns about safety and adverse effects, accurate or otherwise. We therefore sought to characterize online information a...
Using Lexical Chains to Identify Text Difficulty: A Corpus Statistics and Classification Study.
IEEE journal of biomedical and health informatics
Dec 6, 2018
Our goal is data-driven discovery of features for text simplification. In this paper, we investigate three types of lexical chains: exact, synonymous, and semantic. A lexical chain links semantically related words in a document. We examine their pote...
Safety of patient-facing digital symptom checkers.
Lancet (London, England)
Nov 6, 2018
Understanding the Patterns of Health Information Dissemination on Social Media during the Zika Outbreak.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Apr 16, 2018
Social media are important platforms for risk communication during public health crises. Effective dissemination of accurate, relevant, and up-to-date health information is important for the public to raise awareness and develop risk management strat...
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