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[HTML][HTML] A systematic literature review of artificial intelligence in the healthcare sector: Benefits, challenges, methodologies, and functionalities
Administrative and medical processes of the healthcare organizations are rapidly changing
because of the use of artificial intelligence (AI) systems. This change demonstrates the …
because of the use of artificial intelligence (AI) systems. This change demonstrates the …
The role of AI in hospitals and clinics: transforming healthcare in the 21st century
As healthcare systems around the world face challenges such as escalating costs, limited
access, and growing demand for personalized care, artificial intelligence (AI) is emerging as …
access, and growing demand for personalized care, artificial intelligence (AI) is emerging as …
Training spiking neural networks using lessons from deep learning
The brain is the perfect place to look for inspiration to develop more efficient neural
networks. The inner workings of our synapses and neurons provide a glimpse at what the …
networks. The inner workings of our synapses and neurons provide a glimpse at what the …
Artificial intelligence of things for smarter healthcare: a survey of advancements, challenges, and opportunities
Healthcare systems are under increasing strain due to a myriad of factors, from a steadily
ageing global population to the current COVID-19 pandemic. In a world where we have …
ageing global population to the current COVID-19 pandemic. In a world where we have …
2022 roadmap on neuromorphic computing and engineering
Modern computation based on von Neumann architecture is now a mature cutting-edge
science. In the von Neumann architecture, processing and memory units are implemented …
science. In the von Neumann architecture, processing and memory units are implemented …
Organic electrochemical neurons and synapses with ion mediated spiking
Future brain-machine interfaces, prosthetics, and intelligent soft robotics will require
integrating artificial neuromorphic devices with biological systems. Due to their poor …
integrating artificial neuromorphic devices with biological systems. Due to their poor …
[HTML][HTML] Game changers in science and technology-now and beyond
The recent devastating pandemic has drastically reminded humanity of the importance of
constant scientific and technological progress. A strong interdisciplinary dialogue between …
constant scientific and technological progress. A strong interdisciplinary dialogue between …
[HTML][HTML] Brain-inspired learning in artificial neural networks: a review
Artificial neural networks (ANNs) have emerged as an essential tool in machine learning,
achieving remarkable success across diverse domains, including image and speech …
achieving remarkable success across diverse domains, including image and speech …
Computer vision and deep learning for fish classification in underwater habitats: A survey
Marine scientists use remote underwater image and video recording to survey fish species
in their natural habitats. This helps them get a step closer towards understanding and …
in their natural habitats. This helps them get a step closer towards understanding and …
Backpropagation-based learning techniques for deep spiking neural networks: A survey
With the adoption of smart systems, artificial neural networks (ANNs) have become
ubiquitous. Conventional ANN implementations have high energy consumption, limiting …
ubiquitous. Conventional ANN implementations have high energy consumption, limiting …