[HTML][HTML] Medical 4.0 technologies for healthcare: Features, capabilities, and applications
Abstract The Fourth Industrial Revolution may help many sectors and industries, whereas
healthcare will be significantly impacted. Medical advances will be swifter, better and more …
healthcare will be significantly impacted. Medical advances will be swifter, better and more …
[PDF][PDF] The promise of artificial intelligence: a review of the opportunities and challenges of artificial intelligence in healthcare
YYM Aung, DCS Wong, DSW Ting - British medical bulletin, 2021 - academic.oup.com
Introduction Artificial intelligence (AI) and machine learning (ML) are rapidly evolving fields
in various sectors, including healthcare. This article reviews AI's present applications in …
in various sectors, including healthcare. This article reviews AI's present applications in …
[HTML][HTML] Significance of machine learning in healthcare: Features, pillars and applications
Abstract Machine Learning (ML) applications are making a considerable impact on
healthcare. ML is a subtype of Artificial Intelligence (AI) technology that aims to improve the …
healthcare. ML is a subtype of Artificial Intelligence (AI) technology that aims to improve the …
[HTML][HTML] Introduction to machine learning, neural networks, and deep learning
RY Choi, AS Coyner… - … vision science & …, 2020 - iovs.arvojournals.org
Purpose: To present an overview of current machine learning methods and their use in
medical research, focusing on select machine learning techniques, best practices, and deep …
medical research, focusing on select machine learning techniques, best practices, and deep …
Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine
Precision medicine is one of the recent and powerful developments in medical care, which
has the potential to improve the traditional symptom-driven practice of medicine, allowing …
has the potential to improve the traditional symptom-driven practice of medicine, allowing …
Artificial intelligence in healthcare
Artificial intelligence (AI) is gradually changing medical practice. With recent progress in
digitized data acquisition, machine learning and computing infrastructure, AI applications …
digitized data acquisition, machine learning and computing infrastructure, AI applications …
Triple-negative breast cancer: a review of conventional and advanced therapeutic strategies
Triple-negative breast cancer (TNBC) cells are deficient in estrogen, progesterone and
ERBB2 receptor expression, presenting a particularly challenging therapeutic target due to …
ERBB2 receptor expression, presenting a particularly challenging therapeutic target due to …
[PDF][PDF] Pilgrimage movement and pilgrim satisfaction as a customer.
The article illustrates the trend of nonrelegation tourism, which, in a way, forces places of
worship to take care of complete insfrastructure and satisfy the needs of pilgrims. Merely" …
worship to take care of complete insfrastructure and satisfy the needs of pilgrims. Merely" …
Artificial intelligence supported patient self-care in chronic heart failure: a paradigm shift from reactive to predictive, preventive and personalised care
M Barrett, J Boyne, J Brandts, HP Brunner-La Rocca… - Epma Journal, 2019 - Springer
Heart failure (HF) is one of the most complex chronic disorders with high prevalence, mainly
due to the ageing population and better treatment of underlying diseases. Prevalence will …
due to the ageing population and better treatment of underlying diseases. Prevalence will …
Radiomics and machine learning in oral healthcare
AF Leite, KF Vasconcelos, H Willems… - PROTEOMICS …, 2020 - Wiley Online Library
The increasing storage of information, data, and forms of knowledge has led to the
development of new technologies that can help to accomplish complex tasks in different …
development of new technologies that can help to accomplish complex tasks in different …