[HTML][HTML] Integration of IoT-enabled technologies and artificial intelligence (AI) for smart city scenario: recent advancements and future trends

MEE Alahi, A Sukkuea, FW Tina, A Nag… - Sensors, 2023 - mdpi.com
As the global population grows, and urbanization becomes more prevalent, cities often
struggle to provide convenient, secure, and sustainable lifestyles due to the lack of …

[HTML][HTML] Blockchain and artificial intelligence technology in e-Health

P Tagde, S Tagde, T Bhattacharya, P Tagde… - … Science and Pollution …, 2021 - Springer
Blockchain and artificial intelligence technologies are novel innovations in healthcare
sector. Data on healthcare indices are collected from data published on Web of Sciences …

A mini-review of machine learning in big data analytics: Applications, challenges, and prospects

IK Nti, JA Quarcoo, J Aning… - Big Data Mining and …, 2022 - ieeexplore.ieee.org
The availability of digital technology in the hands of every citizenry worldwide makes an
available unprecedented massive amount of data. The capability to process these gigantic …

[HTML][HTML] Applications of big data analytics to control COVID-19 pandemic

SJ Alsunaidi, AM Almuhaideb, NM Ibrahim, FS Shaikh… - Sensors, 2021 - mdpi.com
The COVID-19 epidemic has caused a large number of human losses and havoc in the
economic, social, societal, and health systems around the world. Controlling such epidemic …

Exploring benefits and ethical challenges in the rise of mHealth (mobile healthcare) technology for the common good: An analysis of mobile applications for health …

P Galetsi, K Katsaliaki, S Kumar - Technovation, 2023 - Elsevier
This study reflects on proliferating ethical initiatives, with an eye on social good in the
healthcare industry context while leveraging innovative digital technological infrastructures …

[HTML][HTML] A review of artificial intelligence, big data, and blockchain technology applications in medicine and global health

VK Chattu - Big Data and Cognitive Computing, 2021 - mdpi.com
Artificial intelligence (AI) programs are applied to methods such as diagnostic procedures,
treatment protocol development, patient monitoring, drug development, personalized …

[HTML][HTML] The emergence of AI-based wearable sensors for digital health technology: a review

S Shajari, K Kuruvinashetti, A Komeili, U Sundararaj - Sensors, 2023 - mdpi.com
Disease diagnosis and monitoring using conventional healthcare services is typically
expensive and has limited accuracy. Wearable health technology based on flexible …

[HTML][HTML] Application of big data and artificial intelligence in COVID-19 prevention, diagnosis, treatment and management decisions in China

J Dong, H Wu, D Zhou, K Li, Y Zhang, H Ji… - Journal of Medical …, 2021 - Springer
COVID-19, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2),
spread rapidly and affected most of the world since its outbreak in Wuhan, China, which …

A Systematic Literature Review of Advancements, Challenges and Future Directions of AI And ML in Healthcare

GS Nadella, S Satish, K Meduri, SS Meduri - International Journal of …, 2023 - ijsdcs.com
The most remarkable advancements in artificial intelligence (AI) plus machine learning (ML)
technologies with integration addicted to healthcare systems face several challenges in …

Advancing nursing practice with artificial intelligence: Enhancing preparedness for the future

MKK Rony, MR Parvin, S Ferdousi - Nursing open, 2024 - Wiley Online Library
Aim This article aimed to explore the role of AI in advancing nursing practice, focusing on its
impact on readiness for the future. Design and Methods A position paper, the methodology …