Artificial intelligence in cancer diagnosis and prognosis: Opportunities and challenges
Cancer is an aggressive disease with a low median survival rate. Ironically, the treatment
process is long and very costly due to its high recurrence and mortality rates. Accurate early …
process is long and very costly due to its high recurrence and mortality rates. Accurate early …
AI in health: state of the art, challenges, and future directions
F Wang, A Preininger - Yearbook of medical informatics, 2019 - thieme-connect.com
Introduction: Artificial intelligence (AI) technologies continue to attract interest from a broad
range of disciplines in recent years, including health. The increase in computer hardware …
range of disciplines in recent years, including health. The increase in computer hardware …
Enable deep learning on mobile devices: Methods, systems, and applications
Deep neural networks (DNNs) have achieved unprecedented success in the field of artificial
intelligence (AI), including computer vision, natural language processing, and speech …
intelligence (AI), including computer vision, natural language processing, and speech …
[HTML][HTML] Approaches based on artificial intelligence and the internet of intelligent things to prevent the spread of COVID-19: scoping review
AS Adly, AS Adly, MS Adly - Journal of medical Internet research, 2020 - jmir.org
Background Artificial intelligence (AI) and the Internet of Intelligent Things (IIoT) are
promising technologies to prevent the concerningly rapid spread of coronavirus disease …
promising technologies to prevent the concerningly rapid spread of coronavirus disease …
Leveraging physiology and artificial intelligence to deliver advancements in health care
Artificial intelligence in health care has experienced remarkable innovation and progress in
the last decade. Significant advancements can be attributed to the utilization of artificial …
the last decade. Significant advancements can be attributed to the utilization of artificial …
Transforming diabetes care through artificial intelligence: the future is here
I Dankwa-Mullan, M Rivo, M Sepulveda… - Population health …, 2019 - liebertpub.com
An estimated 425 million people globally have diabetes, accounting for 12% of the world's
health expenditures, and yet 1 in 2 persons remain undiagnosed and untreated …
health expenditures, and yet 1 in 2 persons remain undiagnosed and untreated …
Illuminating the dark spaces of healthcare with ambient intelligence
Advances in machine learning and contactless sensors have given rise to ambient
intelligence—physical spaces that are sensitive and responsive to the presence of humans …
intelligence—physical spaces that are sensitive and responsive to the presence of humans …
Ethical issues in using ambient intelligence in health-care settings
Ambient intelligence is increasingly finding applications in health-care settings, such as
helping to ensure clinician and patient safety by monitoring staff compliance with clinical …
helping to ensure clinician and patient safety by monitoring staff compliance with clinical …
Development and validation of deep learning algorithms for scoliosis screening using back images
Adolescent idiopathic scoliosis is the most common spinal disorder in adolescents with a
prevalence of 0.5–5.2% worldwide. The traditional methods for scoliosis screening are …
prevalence of 0.5–5.2% worldwide. The traditional methods for scoliosis screening are …
Are we ready for artificial intelligence health monitoring in elder care?
A Ho - BMC geriatrics, 2020 - Springer
Background The world is experiencing a dramatic increase in the aging population,
challenging the sustainability of traditional care models that have relied on in-person …
challenging the sustainability of traditional care models that have relied on in-person …