AIMC Topic: Consumer Health Information

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Recognizing Question Entailment for Medical Question Answering.

AMIA ... Annual Symposium proceedings. AMIA Symposium
With the increasing heterogeneity and specialization of medical texts, automated question answering is becoming more and more challenging. In this context, answering a given medical question by retrieving similar questions that are already answered b...

Ontology-based automatic identification of public health-related Turkish tweets.

Computers in biology and medicine
Social media analysis, such as the analysis of tweets, is a promising research topic for tracking public health concerns including epidemics. In this paper, we present an ontology-based approach to automatically identify public health-related Turkish...

Automated Classification of Consumer Health Information Needs in Patient Portal Messages.

AMIA ... Annual Symposium proceedings. AMIA Symposium
Patients have diverse health information needs, and secure messaging through patient portals is an emerging means by which such needs are expressed and met. As patient portal adoption increases, growing volumes of secure messages may burden healthcar...

FIR: An Effective Scheme for Extracting Useful Metadata from Social Media.

Journal of medical systems
Recently, the use of social media for health information exchange is expanding among patients, physicians, and other health care professionals. In medical areas, social media allows non-experts to access, interpret, and generate medical information f...

Automated Detection of HONcode Website Conformity Compared to Manual Detection: An Evaluation.

Journal of medical Internet research
BACKGROUND: To earn HONcode certification, a website must conform to the 8 principles of the HONcode of Conduct In the current manual process of certification, a HONcode expert assesses the candidate website using precise guidelines for each principl...

Evaluating the quality and readability of online information about hidradenitis suppurativa: a systematic review.

Clinical and experimental dermatology
Hidradenitis suppurativa (HS) is a chronic inflammatory skin disorder associated with considerable physical, psychological and social burdens. Despite increasing recognition, diagnostic delays remain common, often prompting patients to seek informati...

Assessing the quality of Japanese online breast cancer treatment information using large language models: a comparison of ChatGPT, Claude, and expert evaluations.

Breast cancer (Tokyo, Japan)
BACKGROUND: The internet is a primary source of health information for breast cancer patients, but online content quality varies widely. This study aimed to evaluate the capability of large language models (LLMs), including ChatGPT and Claude, to ass...

Evaluating an AI Chatbot "Prostate Cancer Info" for Providing Quality Prostate Cancer Screening Information: Cross-Sectional Study.

JMIR cancer
BACKGROUND: Generative artificial intelligence (AI) chatbots may be useful tools for supporting shared prostate cancer (PrCA) screening decisions, but the information produced by these tools sometimes lack quality or credibility. "Prostate Cancer Inf...

Identification of Online Health Information Using Large Pretrained Language Models: Mixed Methods Study.

Journal of medical Internet research
BACKGROUND: Online health information is widely available, but a substantial portion of it is inaccurate or misleading, including exaggerated, incomplete, or unverified claims. Such misinformation can significantly influence public health decisions a...