Generative artificial intelligence in healthcare from the perspective of digital media: Applications, opportunities and challenges

• DOI: 10.1016/j.heliyon.2024.e32364
• Publication Date: 2024-06-05T17:14:49Z
• Authors: Rui Xu; Zhong Wang
• Keywords: H1-99; 0301 basic medicine; Science (General); Healthcare; Social sciences (General); Q1-390; ChatGPT; Opportunities; 0302 clinical medicine; Applications; Challenges; Digital media; Research Article

•First systematic research of ChatGPT in healthcare with reliable data sources•Novel and effective perspective from digital media (i.e., 89 selected online news articles)•Summarization 26 applications, 21 opportunities, 17 challenges health age IntroductionThe emergence application generative artificial intelligence/large language models (hereafter GenAI LLMs) have the potential for significant impact on industry. However, there is currently a lack LLMs based data. This article aims to conduct an exploratory study ChatGPT) news), including scenarios, challenges.MethodsThis used thematic qualitative text analysis five steps: firstly, developing main topical categories relevant articles; secondly, encoding search keywords using these categories; thirdly, conducting searches articles via Google browser; fourthly, sub-categories elaborate category system; finally, category-based presenting results. Natural processing techniques, TermRaider AntConc tool, were applied aforementioned steps assist analysis. Additionally, this built framework, analyzing above three topics, different stakeholders, demanders providers.ResultsThis summarizes applications (e.g., provide medical advice, diagnosis triage recommendations, mental support, etc.), opportunities make more accessible, reduce costs, improve patients care, generate inaccurate/misleading/wrong answers, raise privacy concerns, transparency, analyzes reasons formation key items links between topics.ConclusionsThe primarily focused transforming way access services making it intelligent, refined, humane) optimizing processes through which providers offer simplifying, ensuring timeliness, reducing errors). As becomes widespread deepens, expected revolutionary traditional service models, but also inevitably raises ethical security concerns. Furthermore, still initial stage, can be accelerated specific field health) or mechanism LLMs' economic benefits allocation healthcare) empirical clinical research.