Diagnostics, Год журнала: 2025, Номер 15(3), С. 282 - 282
Опубликована: Янв. 24, 2025
Humanity stands at a pivotal moment of technological revolution, with artificial intelligence (AI) reshaping fields traditionally reliant on human cognitive abilities. This transition, driven by advancements in neural networks, has transformed data processing and evaluation, creating opportunities for addressing complex time-consuming tasks AI solutions. Convolutional networks (CNNs) the adoption GPU technology have already revolutionized image recognition enhancing computational efficiency accuracy. In radiology, applications are particularly valuable involving pattern detection classification; example, tools enhanced diagnostic accuracy detecting abnormalities across imaging modalities through automated feature extraction. Our analysis reveals that neuroimaging chest imaging, as well CT MRI modalities, primary focus areas products, reflecting their high clinical demand complexity. also used to target high-prevalence diseases, such lung cancer, stroke, breast underscoring AI’s alignment impactful needs. The regulatory landscape is critical factor product development, majority products certified under Medical Device Directive (MDD) Regulation (MDR) Class IIa or I categories, indicating compliance moderate-risk standards. A rapid increase development from 2017 2020, peaking 2020 followed recent stabilization saturation, was identified. this work, authors review AI-based applications, transformative potential support focusing role CNNs, challenges, threats labor field imaging.
Язык: Английский
Процитировано
5Informatics strategies for early detection and risk mitigation in pancreatic cancer patients
Neoplasia, Год журнала: 2025, Номер 60, С. 101129 - 101129
Опубликована: Янв. 21, 2025
Язык: Английский
Процитировано
3A review of medical tourism entrepreneurship and marketing at regional and global levels and a quick glance into the applications of artificial intelligence in medical tourism
AI & Society, Год журнала: 2025, Номер unknown
Опубликована: Янв. 7, 2025
Язык: Английский
Процитировано
1They misused me! Digital literacy’s dual role in AI marketing manipulation and unethical young consumer behavior
Young Consumers Insight and Ideas for Responsible Marketers, Год журнала: 2025, Номер unknown
Опубликована: Янв. 17, 2025
Purpose Artificial intelligence (AI)-driven marketing has transformed the landscape of consumer interactions, but it also raises ethical concerns regarding perceived manipulation and subsequent unethical young behavior. This study aims to investigate direct indirect effects AI-driven on behavior, with digital literacy as a moderating variable. The authors introduce conceptualize construct that influences how consumers perceive react manipulative tactics. Design/methodology/approach Using Elaboration Likelihood Model (ELM) Persuasion Knowledge (PKM), this research explores reception moderates adopts three-wave, time-lagged survey method among in urban Pakistan, integrating measures techniques, manipulation, Findings results reveal mediates relationship between Digital significantly effect, indicating higher levels can mitigate negative impacts manipulation. Conversely, lower amplifies Practical implications findings underscore need for marketers foster transparency practices strategies. Enhancing serve protective factor against practices. Originality/value contributes understanding literacy’s role It extends existing models persuasion response by demonstrating reshapes traditional frameworks context environments.
Язык: Английский
Процитировано
1AI-Driven Telerehabilitation: Benefits and Challenges of a Transformative Healthcare Approach
AI, Год журнала: 2025, Номер 6(3), С. 62 - 62
Опубликована: Март 17, 2025
Artificial intelligence (AI) has revolutionized telerehabilitation by integrating machine learning (ML), big data analytics, and real-time feedback to create adaptive, patient-centered care. AI-driven systems enhance analyzing patient personalize therapy, monitor progress, suggest adjustments, eliminating the need for constant clinician oversight. The benefits of AI-powered include increased accessibility, especially remote or mobility-limited patients, greater convenience, allowing patients perform therapies at home. However, challenges persist, such as privacy risks, digital divide, algorithmic bias. Robust encryption protocols, equitable access technology, diverse training datasets are critical addressing these issues. Ethical considerations also arise, emphasizing human oversight maintaining therapeutic relationship. AI aids clinicians automating administrative tasks facilitating interdisciplinary collaboration. Innovations like 5G networks, Internet Medical Things (IoMT), robotics further telerehabilitation’s potential. By transforming rehabilitation into a dynamic, engaging, personalized process, together represent paradigm shift in healthcare, promising improved outcomes broader worldwide.
Язык: Английский
Процитировано
1Telemedicine: how to achieve interoperability without compromising data security
British Journal of Healthcare Management, Год журнала: 2025, Номер 31(1), С. 1 - 5
Опубликована: Янв. 2, 2025
Telemedicine has become a critical component of modern healthcare by improving the accessibility and efficiency patient services. However, ensuring security telemedicine platforms is growing concern, especially when it comes to interoperability exchange data between platforms.
Язык: Английский
Процитировано
0Optimized Quality of Service prediction in FSO Links over South Africa using Ensemble Learning.
Optics Communications, Год журнала: 2025, Номер unknown, С. 131509 - 131509
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0A multi-faceted approach for leveraging AI and intellectual capital for enhanced supply chain decision-making
Journal of Intellectual Capital, Год журнала: 2025, Номер unknown
Опубликована: Янв. 30, 2025
Purpose This study aims to investigate the mediating role of different types intellectual capital (human, structural and relational) in relationship between artificial intelligence-driven supply chain analytics capability (AI-SCAC) various decision-making processes, specifically rational, bounded tacit decision-making. Design/methodology/approach The used a quantitative survey strategy collect data. A total 320 valid questionnaires were received from manufacturing companies. data analysed using equation modeling with partial least squares (PLS-SEM) approach through SmartPLS software. Findings results indicate that human significantly mediate AI-SCAC rational processes. However, does not process. Moreover, relational show significant effect on all Notably, has strongest impact decision-making, while plays critical across three including Originality/value contributes literature by providing nuanced understanding differentiated components processes within context AI-SCAC. While previous studies have broadly acknowledged this research provides more how specific interact AI influence distinct differential versus highlights need for organisations adopt tailored leveraging their capital.
Язык: Английский
Процитировано
0Building public trust in cooperatives through digitalization
Journal of Management and Digital Business, Год журнала: 2025, Номер 5(1), С. 69 - 84
Опубликована: Янв. 29, 2025
The Digital Economy is the implementation of computers and communication technology through Internet to facilitate business processes. digital economy allows many activities that previously had be done offline converted online help information technology. economic sector in Indonesia affected by digitalization cooperatives. Cooperatives are entities known as pro-people have legal Indonesia. This explanatory research study aims test explain causal relationship between variables hypothesis testing. approach taken this a quantitative approach. focuses on discussing factors improve welfare cooperative members, namely trust. In study, researcher used 214 respondents who were members savings loan cooperatives Greater area Surakarta. uses structural equation modeling (SEM) hypothesis. results show trust can affect members. addition, mediate
Язык: Английский
Процитировано
0Post-Harvest Technologies and Automation: Al-Driven Innovations in Food Processing and Supply Chains
International Journal of Scientific Research in Science and Technology, Год журнала: 2025, Номер 12(1), С. 183 - 205
Опубликована: Янв. 26, 2025
The rapid advancements in artificial intelligence (AI) and automation are transforming post-harvest technologies, offering innovative solutions to improve food quality, safety, supply chain efficiency. This paper reviews the role of AI-driven innovations processing logistics, with a focus on automation, predictive analytics, quality control. AI such as machine learning, computer vision, IoT integration, optimizing processes like sorting, grading, packaging, microbial detection, reducing waste extending shelf life. Moreover, AI-powered robotics smart warehouses streamlining transportation inventory management, enhancing operational integration demand forecasting optimization is further improving traceability, minimizing disruptions, environmental impact. Despite promising potential, challenges data system cost barriers, regulatory concerns remain. future technologies presents opportunities for continued innovation, deep IoT, global scalability, pathways sustainable systems. concludes by discussing impact sector its potential drive more efficient, resilient, chains worldwide.
Язык: Английский
Процитировано
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