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[PDF][PDF] Harnessing the power of AI: a comprehensive review of its impact and challenges in nursing science and healthcare
S Yelne, M Chaudhary, K Dod, A Sayyad, R Sharma - Cureus, 2023 - cureus.com
This comprehensive review delves into the impact and challenges of Artificial Intelligence
(AI) in nursing science and healthcare. AI has already demonstrated its transformative …
(AI) in nursing science and healthcare. AI has already demonstrated its transformative …
[HTML][HTML] Amalgamation of Blockchain with resource-constrained IoT devices for Healthcare applications–State of Art, Challenges and Future Directions
P Hegde, PKR Maddikunta - … Journal of Cognitive Computing in Engineering, 2023 - Elsevier
Healthcare is an emerging sector with the integration of emerging technologies aiming to
improve Quality of Life of an individual through various medical services. Most of the …
improve Quality of Life of an individual through various medical services. Most of the …
Collaborative federated learning for healthcare: Multi-modal covid-19 diagnosis at the edge
Despite significant improvements over the last few years, cloud-based healthcare
applications continue to suffer from poor adoption due to their limitations in meeting stringent …
applications continue to suffer from poor adoption due to their limitations in meeting stringent …
Quantum machine learning in healthcare: Developments and challenges
Machine learning is playing a very significant role to process voluminous data and its
classification in a variety of domains. Due to better performance and rapid development in …
classification in a variety of domains. Due to better performance and rapid development in …
How could quantum computing shape information systems research–An editorial perspective and future research directions
Quantum computing promises to be the next frontier of change that will transform the
information and communication technology ecosystem. Governments and multinational firms …
information and communication technology ecosystem. Governments and multinational firms …
Internet of things (iot): Origin, embedded technologies, smart applications and its growth in the last decade
The idea of the IoT began back in 1982 when a vending machine was connected to the
internet, then to the concept of Mark Weiser in 1992, then RFID, and so on. A detailed …
internet, then to the concept of Mark Weiser in 1992, then RFID, and so on. A detailed …
A survey on available tools and technologies enabling quantum computing
In the contemporary era of scientific and technical innovations, we are witnessing
remarkable progress in the realm of quantum computing. Today's phase is referred to as the …
remarkable progress in the realm of quantum computing. Today's phase is referred to as the …
Quantum machine learning on near-term quantum devices: Current state of supervised and unsupervised techniques for real-world applications
The past decade has witnessed significant advancements in quantum hardware,
encompassing improvements in speed, qubit quantity, and quantum volume—a metric …
encompassing improvements in speed, qubit quantity, and quantum volume—a metric …
Navigating the molecular landscape of environmental science and heavy metal removal: A simulation-based approach
Heavy metals pose a significant threat to ecosystems and human health because of their
toxic properties and their ability to bioaccumulate in living organisms. Traditional removal …
toxic properties and their ability to bioaccumulate in living organisms. Traditional removal …
Autonomous threat hunting: A future paradigm for AI-driven threat intelligence
SR Sindiramutty - arxiv preprint arxiv:2401.00286, 2023 - arxiv.org
The evolution of cybersecurity has spurred the emergence of autonomous threat hunting as
a pivotal paradigm in the realm of AI-driven threat intelligence. This review navigates …
a pivotal paradigm in the realm of AI-driven threat intelligence. This review navigates …