[HTML][HTML] A systematic literature review of artificial intelligence in the healthcare sector: Benefits, challenges, methodologies, and functionalities

O Ali, W Abdelbaki, A Shrestha, E Elbasi… - Journal of Innovation & …, 2023 - Elsevier
Administrative and medical processes of the healthcare organizations are rapidly changing
because of the use of artificial intelligence (AI) systems. This change demonstrates the …

Artificial intelligence of things for smarter healthcare: A survey of advancements, challenges, and opportunities

S Baker, W **ang - IEEE Communications Surveys & Tutorials, 2023 - ieeexplore.ieee.org
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 …

Training spiking neural networks using lessons from deep learning

JK Eshraghian, M Ward, EO Neftci… - Proceedings of the …, 2023 - ieeexplore.ieee.org
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 …

2022 roadmap on neuromorphic computing and engineering

DV Christensen, R Dittmann… - Neuromorphic …, 2022 - iopscience.iop.org
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 …

Organic electrochemical neurons and synapses with ion mediated spiking

PC Harikesh, CY Yang, D Tu, JY Gerasimov… - Nature …, 2022 - nature.com
Future brain-machine interfaces, prosthetics, and intelligent soft robotics will require
integrating artificial neuromorphic devices with biological systems. Due to their poor …

[HTML][HTML] Game changers in science and technology-now and beyond

UAK Betz, L Arora, RA Assal, H Azevedo… - … Forecasting and Social …, 2023 - Elsevier
The recent devastating pandemic has drastically reminded humanity of the importance of
constant scientific and technological progress. A strong interdisciplinary dialogue between …

Backpropagation-based learning techniques for deep spiking neural networks: A survey

M Dampfhoffer, T Mesquida… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the adoption of smart systems, artificial neural networks (ANNs) have become
ubiquitous. Conventional ANN implementations have high energy consumption, limiting …

Computer vision and deep learning for fish classification in underwater habitats: A survey

A Saleh, M Sheaves, M Rahimi Azghadi - Fish and Fisheries, 2022 - Wiley Online Library
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 …

Adaptive extreme edge computing for wearable devices

E Covi, E Donati, X Liang, D Kappel… - Frontiers in …, 2021 - frontiersin.org
Wearable devices are a fast-growing technology with impact on personal healthcare for both
society and economy. Due to the widespread of sensors in pervasive and distributed …

Automated machine learning for healthcare and clinical notes analysis

A Mustafa, M Rahimi Azghadi - Computers, 2021 - mdpi.com
Machine learning (ML) has been slowly entering every aspect of our lives and its positive
impact has been astonishing. To accelerate embedding ML in more applications and …