The Digital Transformation of Healthcare Through Intelligent Technologies: A Path Dependence-Augmented-Unified Theory of Acceptance and Use of Technology Model for Clinical Decision Support Systems [0.03%]
基于路径依赖的综合技术接受和使用模型在智能临床决策支持系统中的应用及数字化转型研究
Șerban Andrei Marinescu,Ionica Oncioiu,Adrian-Ionuț Ghibanu
Șerban Andrei Marinescu
Background/Objectives: Integrating Artificial Intelligence Clinical Decision Support Systems (AI-CDSSs) into healthcare can improve diagnostic accuracy, optimize clinical workflows, and support evidence-based medical decision-making. Howeve...
Robert J H Miller
Robert J H Miller
Artificial intelligence (AI) encompasses a variety of computer algorithms that have a wide range of potential clinical applications in nuclear cardiology. This article will introduce core terminology and concepts for AI including classifica...
Yao Qiu,Xiaolan Chen,Xinyuan Wu et al.
Yao Qiu et al.
Embodied artificial intelligence (EAI) integrates perception, memory, reasoning and action through physical interaction, enabling multimodal dynamic learning and real-time feedback. In ophthalmology, EAI supports data-driven decision-making...
Supporting the technocracy of artificial intelligence: Data from a representative Spanish sample [0.03%]
对人工智能技术官僚制的支持：来自西班牙代表性样本的数据分析
Eva Moreno-Bella,Marcos Dono,Miguel Moya
Eva Moreno-Bella
The recent development and improvement of generative AI have significantly influenced the lives of all citizens in developed countries. However, this technological advancement is occurring in a context of economic distress and political unc...
Personalized surveillance in colorectal cancer: Integrating circulating tumor DNA and artificial intelligence into post-treatment follow-up [0.03%]
结直肠癌的个性化监测：在术后随访中整合循环肿瘤DNA和人工智能技术
Ionut Negoi
Ionut Negoi
Given the growing burden of colorectal cancer (CRC) as a global health challenge, it becomes imperative to focus on strategies that can mitigate its impact. Post-treatment surveillance has emerged as essential for early detection of recurre...
Mariana Lenharo
Mariana Lenharo
AI-enhanced medical writing: facing unavoidable innovation, between pitfalls and opportunities [0.03%]
增强医学写作的人工智能技术：在创新的道路上规避陷阱抓住机遇
Luca Viganò,Aldo Rocca
Luca Viganò
Harnessing explainable AI to adaptively design catalysts for lithium-sulfur batteries [0.03%]
利用解释性的人工智能技术实现锂硫电池催化剂的自适应设计
Xinyan Liu,Hong-Jie Peng
Xinyan Liu
The exploration of efficient catalysts for sluggish sulfur redox reactions is pivotal for advancing lithium-sulfur batteries but remains inefficient through trial-and-error approaches. In a recent Joule study, Zhou, Li, and colleagues propo...
Critical Commentary on "The effect of the use of artificial intelligence in the preparation of patient education materials by nursing students on the understandability, actionability and quality of the material: A randomized controlled trial" [0.03%]
《运用人工智能技术准备患者教育材料的护理专业学生对材料可读性、实用性和质量影响的随机对照试验》一文述评
Milad Kazemi Najm,Nasrin Imanifar
Milad Kazemi Najm
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