AIMC Topic: Internet

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Vibe Coding in nephrology education: clinician-led, AI-assisted development of open-source interactive learning tools.

Renal failure
Medical education increasingly incorporates digital technologies; however, many tools remain passive and text-based. is a clinician-led design framework that embeds expert reasoning and the cognitive 'feel' of clinical decision-making into interacti...

Web based AI-driven framework combining multi-modal data with CNN and LLM for Parkinson's disease diagnosis.

Scientific reports
Parkinson's disease (PD) is a progressive neurodegenerative disorder characterized by a wide spectrum of motor and non-motor symptoms, often leading to delayed or inaccurate diagnosis. Conventional diagnostic methods frequently suffer from limited se...

Utility and Limitations of Large Language Models to Simplify Online Content on Generalized Pustular Psoriasis.

Rhode Island medical journal (2013)
Online health information (OHI) in dermatology often exceeds the recommended sixth-grade reading level, hindering patient comprehension. This study aimed to assess the utility of three artificial intelligence large language models (LLMs) - ChatGPT-3....

Evaluating Web Retrieval-Assisted Large Language Models With and Without Whitelisting for Evidence-Based Neurology: Comparative Study.

Journal of medical Internet research
BACKGROUND: Large language models (LLMs) coupled with real-time web retrieval are reshaping how clinicians and patients locate medical evidence, and as major search providers fuse LLMs into their interfaces, this hybrid approach might become the new ...

Black pepper knowledge base (BlackPepKB): a centralized web resource for functional genomics of black pepper (Piper nigrum L.).

BMC genomics
BACKGROUND: Black pepper (Piper nigrum L.) is a highly valued spice crop with significant economic, medicinal, and cultural importance. While genomic and transcriptomic data for black pepper have rapidly accumulated in recent years, there is currentl...

A comparative analysis of ChatGPT and Google in providing quality and clinical relevance of responses to patients' frequently asked questions on robotic-assisted total knee arthroplasty.

Archives of orthopaedic and trauma surgery
INTRODUCTION: The purpose of this study was to identify the most frequent questions a patient might encounter in an internet search about robotic-assisted total knee arthroplasty (RATKA), and to identify and categorize the answers to these questions ...

Mapping subnational gender gaps in internet and mobile adoption using social media data.

Proceedings of the National Academy of Sciences of the United States of America
The digital revolution has ushered in many societal and economic benefits. Yet access to digital technologies such as mobile phones and internet remains highly unequal, especially by gender in the context of low- and middle-income countries (LMICs). ...

Hand, Foot, and Mouth Disease Risk Prediction in Southern China: Time Series Study Integrating Web-Based Search and Epidemiological Surveillance Data.

JMIR infodemiology
BACKGROUND: Hand, foot, and mouth disease (HFMD) is a global health concern requiring a risk assessment framework based on systematic factors analysis for prevention and control.

Evaluating Large Language Models and Retrieval-Augmented Generation Enhancement for Delivering Guideline-Adherent Nutrition Information for Cardiovascular Disease Prevention: Cross-Sectional Study.

Journal of medical Internet research
BACKGROUND: Cardiovascular disease (CVD) remains the leading cause of death worldwide, yet many web-based sources on cardiovascular (CV) health are inaccessible. Large language models (LLMs) are increasingly used for health-related inquiries and offe...

Evolving Health Information-Seeking Behavior in the Context of Google AI Overviews, ChatGPT, and Alexa: Interview Study Using the Think-Aloud Protocol.

Journal of medical Internet research
BACKGROUND: Online health information seeking is undergoing a major shift with the advent of artificial intelligence (AI)-powered technologies such as voice assistants and large language models (LLMs). While existing health information-seeking behavi...