Diffusion models in medical imaging: A comprehensive survey
Denoising diffusion models, a class of generative models, have garnered immense interest
lately in various deep-learning problems. A diffusion probabilistic model defines a forward …
lately in various deep-learning problems. A diffusion probabilistic model defines a forward …
[HTML][HTML] Intelligent healthcare: Integration of emerging technologies and Internet of Things for humanity
Health is gold, and good health is a matter of survival for humanity. The development of the
healthcare industry aligns with the development of humans throughout history. Nowadays …
healthcare industry aligns with the development of humans throughout history. Nowadays …
[HTML][HTML] Generative AI in medical practice: in-depth exploration of privacy and security challenges
Y Chen, P Esmaeilzadeh - Journal of Medical Internet Research, 2024 - jmir.org
As advances in artificial intelligence (AI) continue to transform and revolutionize the field of
medicine, understanding the potential uses of generative AI in health care becomes …
medicine, understanding the potential uses of generative AI in health care becomes …
Privacy preserving Federated Learning framework for IoMT based big data analysis using edge computing
The current industrial scenario has witnessed the application of several artificial intelligence-
based technologies for mining and processing IoMT-based big data. An emerging …
based technologies for mining and processing IoMT-based big data. An emerging …
FL-FD: Federated learning-based fall detection with multimodal data fusion
Multimodal data fusion is a critical element of fall detection systems, as it provides more
comprehensive information than single-modal data. Yet, data heterogeneity between …
comprehensive information than single-modal data. Yet, data heterogeneity between …
Continuous dynamic gesture recognition using surface EMG signals based on blockchain-enabled internet of medical things
G Li, D Bai, G Jiang, D Jiang, J Yun, Z Yang, Y Sun - Information Sciences, 2023 - Elsevier
The integration of blockchain technology in the Internet of Medical Things (IoMT) enhances
user security, convenience and interoperability. It introduces a novel approach to gesture …
user security, convenience and interoperability. It introduces a novel approach to gesture …
Federated learning for the healthcare metaverse: Concepts, applications, challenges, and future directions
Recent technological advancements have considerably improved healthcare systems to
provide various intelligent services, improving life quality. The Metaverse, often described as …
provide various intelligent services, improving life quality. The Metaverse, often described as …
Advancing pandemic preparedness in healthcare 5.0: A survey of federated learning applications
S Hamood Alsamhi, A Hawbani… - Advances in Human …, 2023 - Wiley Online Library
The intersection of Federated Learning (FL) and Healthcare 5.0 promises a transformative
shift towards a more resilient future, particularly concerning pandemic preparedness. Within …
shift towards a more resilient future, particularly concerning pandemic preparedness. Within …
[HTML][HTML] Edge AI for early detection of chronic diseases and the spread of infectious diseases: opportunities, challenges, and future directions
E Badidi - Future Internet, 2023 - mdpi.com
Edge AI, an interdisciplinary technology that enables distributed intelligence with edge
devices, is quickly becoming a critical component in early health prediction. Edge AI …
devices, is quickly becoming a critical component in early health prediction. Edge AI …
A comprehensive review on variants of SARS-CoVs-2: Challenges, solutions and open issues
SARS-CoV-2 is an infected disease caused by one of the variants of Coronavirus which
emerged in December 2019. It is declared a pandemic by WHO in March 2020. COVID-19 …
emerged in December 2019. It is declared a pandemic by WHO in March 2020. COVID-19 …