[HTML][HTML] Ethical implications of chatbot utilization in nephrology
OA Garcia Valencia, S Suppadungsuk… - Journal of Personalized …, 2023 - mdpi.com
This comprehensive critical review critically examines the ethical implications associated
with integrating chatbots into nephrology, aiming to identify concerns, propose policies, and …
with integrating chatbots into nephrology, aiming to identify concerns, propose policies, and …
[HTML][HTML] The effects of artificial intelligence applications in educational settings: Challenges and strategies
With the continuous intervention of AI tools in the education sector, new research is required
to evaluate the viability and feasibility of extant AI platforms to inform various pedagogical …
to evaluate the viability and feasibility of extant AI platforms to inform various pedagogical …
Analyzing the impact of artificial intelligence on employee productivity: the mediating effect of knowledge sharing and well‐being
Following social cognitive theory, the current study investigated the impact of artificial
intelligence (AI) on employees' productivity in the healthcare sector. AI significantly facilitates …
intelligence (AI) on employees' productivity in the healthcare sector. AI significantly facilitates …
Artificial intelligence (AI) futures: India-UK collaborations emerging from the 4th Royal Society Yusuf Hamied workshop
YK Dwivedi, L Hughes, HKDH Bhadeshia… - International Journal of …, 2023 - Elsevier
Abstract “Artificial Intelligence” in all its forms has emerged as a transformative technology
that is in the process of reshaping many aspects of industry and wider society at a global …
that is in the process of reshaping many aspects of industry and wider society at a global …
The knowledge and innovation challenges of ChatGPT: A scoping review
This study has several objectives. Firstly, the authors adopt a scoping review of extant
research to identify common emerging themes in the ChatGPT model. Secondly, the …
research to identify common emerging themes in the ChatGPT model. Secondly, the …
Applying artificial intelligence in healthcare: lessons from the COVID-19 pandemic
The COVID-19 pandemic exposed vulnerabilities in global healthcare systems and
highlighted the need for innovative, technology-driven solutions like Artificial Intelligence …
highlighted the need for innovative, technology-driven solutions like Artificial Intelligence …
[HTML][HTML] Recent advances of artificial intelligence in healthcare: A systematic literature review
The implementation of artificial intelligence (AI) is driving significant transformation inside
the administrative and clinical workflows of healthcare organizations at an accelerated rate …
the administrative and clinical workflows of healthcare organizations at an accelerated rate …
[HTML][HTML] Deep learning-based IoT system for remote monitoring and early detection of health issues in real-time
With an aging population and increased chronic diseases, remote health monitoring has
become critical to improving patient care and reducing healthcare costs. The Internet of …
become critical to improving patient care and reducing healthcare costs. The Internet of …
[HTML][HTML] Determining the factors influencing business analytics adoption at organizational level: a systematic literature review
The adoption of business analytics (BA) has become increasingly important for
organizations seeking to gain a competitive edge in today's data-driven business landscape …
organizations seeking to gain a competitive edge in today's data-driven business landscape …
[HTML][HTML] An integrated deep learning and natural language processing approach for continuous remote monitoring in digital health
KA Shastry, A Shastry - Decision Analytics Journal, 2023 - Elsevier
The rapid adoption of digital health technologies generates a vast amount of health data,
presenting an opportunity to leverage advanced data analytics and cognitive computing to …
presenting an opportunity to leverage advanced data analytics and cognitive computing to …