首页|University of Zagreb School of Medicine Reports Findings in Artificial Intellige nce (Bridging healthcare gaps: a scoping review on the role of artificial intell igence, deep learning, and large language models in alleviating problems in medi cal ...)
University of Zagreb School of Medicine Reports Findings in Artificial Intellige nce (Bridging healthcare gaps: a scoping review on the role of artificial intell igence, deep learning, and large language models in alleviating problems in medi cal ...)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
New research on Artificial Intelligenc e is the subject of a report. According to news reporting out of Zagreb, Croatia , by NewsRx editors, research stated, "Medical deserts' are areas with low healt hcare service levels, challenging the access, quality, and sustainability of car e. This qualitative narrative review examines how artificial intelligence (AI), particularly large language models (LLMs), can address these challenges by integ rating with e-Health and the Internet of Medical Things to enhance services in u nder-resourced areas." Our news journalists obtained a quote from the research from the University of Z agreb School of Medicine, "It explores AI-driven telehealth platforms that overc ome language and cultural barriers, increasing accessibility. The utility of LLM s in providing diagnostic assistance where specialist deficits exist is highligh ted, demonstrating AI's role in supplementing medical expertise and improving ou tcomes. Additionally, the development of AI chatbots offers preliminary medical advice, serving as initial contact points in remote areas. The review also discu sses AI's role in enhancing medical education and training, supporting the profe ssional development of healthcare workers in these regions. It assesses AI's str ategic use in data analysis for effective resource allocation, identifying healt hcare provision gaps. AI, especially LLMs, is seen as a promising solution for b ridging healthcare gaps in ‘medical deserts,' improving service accessibility, q uality, and distribution."
ZagrebCroatiaEuropeArtificial Inte lligenceEmerging TechnologiesMachine Learning
NETL
NSTL
