Blockchain applications in health care for COVID-19 and beyond: a systematic review

WY Ng, TE Tan, PVH Movva, AHS Fang… - The Lancet Digital …, 2021 - thelancet.com
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 …

Metaverse for digital anti-aging healthcare: an overview of potential use cases based on artificial intelligence, blockchain, IoT technologies, its challenges, and future …

MAI Mozumder, TPT Armand, SM Imtiyaj Uddin… - Applied Sciences, 2023 - mdpi.com
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 …

Integration of artificial intelligence, blockchain, and wearable technology for chronic disease management: a new paradigm in smart healthcare

Y Xie, L Lu, F Gao, S He, H Zhao, Y Fang, J Yang… - Current Medical …, 2021 - Springer
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 …

Artificial intelligence for screening of multiple retinal and optic nerve diseases

L Dong, W He, R Zhang, Z Ge, YX Wang… - JAMA network …, 2022 - jamanetwork.com
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 …

Artificial intelligence and digital health in global eye health: opportunities and challenges

TF Tan, AJ Thirunavukarasu, L Jin, J Lim… - The Lancet Global …, 2023 - thelancet.com
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 …

[HTML][HTML] Artificial intelligence and deep learning in ophthalmology: Current status and future perspectives

K Jin, 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 …

Challenges of artificial intelligence in medicine and dermatology

A Grzybowski, K Jin, H Wu - Clinics in dermatology, 2024 - Elsevier
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 …

AI-powered blockchain technology for public health: A contemporary review, open challenges, and future research directions

R Kumar, Arjunaditya, D Singh, K Srinivasan, YC Hu - Healthcare, 2022 - mdpi.com
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 …

Using artificial intelligence to diagnose osteoporotic vertebral fractures on plain radiographs

L Shen, C Gao, S Hu, D Kang, Z Zhang… - Journal of Bone and …, 2023 - academic.oup.com
Osteoporotic vertebral fracture (OVF) is a risk factor for morbidity and mortality in elderly
population, and accurate diagnosis is important for improving treatment outcomes. OVF …

Artificial intelligence, ChatGPT, and other large language models for social determinants of health: Current state and future directions

JCL Ong, BJJ Seng, JZF Law, LL Low, ALH Kwa… - Cell Reports …, 2024 - cell.com
This perspective highlights the importance of addressing social determinants of health
(SDOH) in patient health outcomes and health inequity, a global problem exacerbated by …