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[HTML][HTML] Blockchain applications in health care for COVID-19 and beyond: a systematic review
The COVID-19 pandemic has had a substantial and global impact on health care, and has
greatly accelerated the adoption of digital technology. One of these emerging digital …
greatly accelerated the adoption of digital technology. One of these emerging digital …
Metaverse for digital anti-aging healthcare: an overview of potential use cases based on artificial intelligence, blockchain, IoT technologies, its challenges, and future …
Metaverse is the buzz technology of the moment raising attention both from academia and
industry. Many stakeholders are considering an extension of their existing applications into …
industry. Many stakeholders are considering an extension of their existing applications into …
Integration of artificial intelligence, blockchain, and wearable technology for chronic disease management: a new paradigm in smart healthcare
Chronic diseases are a growing concern worldwide, with nearly 25% of adults suffering from
one or more chronic health conditions, thus placing a heavy burden on individuals, families …
one or more chronic health conditions, thus placing a heavy burden on individuals, families …
Artificial intelligence, ChatGPT, and other large language models for social determinants of health: Current state and future directions
This perspective highlights the importance of addressing social determinants of health
(SDOH) in patient health outcomes and health inequity, a global problem exacerbated by …
(SDOH) in patient health outcomes and health inequity, a global problem exacerbated by …
[HTML][HTML] Artificial intelligence and deep learning in ophthalmology: current status and future perspectives
K **, J Ye - Advances in ophthalmology practice and research, 2022 - Elsevier
Background The ophthalmology field was among the first to adopt artificial intelligence (AI)
in medicine. The availability of digitized ocular images and substantial data have made …
in medicine. The availability of digitized ocular images and substantial data have made …
Artificial intelligence for screening of multiple retinal and optic nerve diseases
Importance The lack of experienced ophthalmologists limits the early diagnosis of retinal
diseases. Artificial intelligence can be an efficient real-time way for screening retinal …
diseases. Artificial intelligence can be an efficient real-time way for screening retinal …
Artificial intelligence and digital health in global eye health: opportunities and challenges
Global eye health is defined as the degree to which vision, ocular health, and function are
maximised worldwide, thereby optimising overall wellbeing and quality of life. Improving eye …
maximised worldwide, thereby optimising overall wellbeing and quality of life. Improving eye …
Challenges of artificial intelligence in medicine and dermatology
Artificial intelligence (AI) in medicine and dermatology brings additional challenges related
to bias, transparency, ethics, security, and inequality. Bias in AI algorithms can arise from …
to bias, transparency, ethics, security, and inequality. Bias in AI algorithms can arise from …
Securing AI‐based healthcare systems using blockchain technology: A state‐of‐the‐art systematic literature review and future research directions
Healthcare institutions are progressively integrating artificial intelligence (AI) into their
operations. The extraordinary potential of AI is restricted by insufficient medical data for AI …
operations. The extraordinary potential of AI is restricted by insufficient medical data for AI …
AI-powered blockchain technology for public health: a contemporary review, open challenges, and future research directions
Blockchain technology has been growing at a substantial growth rate over the last decade.
Introduced as the backbone of cryptocurrencies such as Bitcoin, it soon found its application …
Introduced as the backbone of cryptocurrencies such as Bitcoin, it soon found its application …