[Retracted] Integration of Artificial Intelligence and Blockchain Technology in Healthcare and Agriculture
Over the last decade, the healthcare sector has accelerated its digitization and electronic
health records (EHRs). As information technology progresses, the notion of intelligent health …
health records (EHRs). As information technology progresses, the notion of intelligent health …
Healthcare 4.0: A review of frontiers in digital health
Healthcare 4.0 is a term that has emerged recently and derived from Industry 4.0. Today, the
health care sector is more digital than in past decades; for example, spreading from x‐rays …
health care sector is more digital than in past decades; for example, spreading from x‐rays …
[HTML][HTML] Artificial intelligence and health technology assessment: anticipating a new level of complexity
Artificial intelligence (AI) is seen as a strategic lever to improve access, quality, and
efficiency of care and services and to build learning and value-based health systems. Many …
efficiency of care and services and to build learning and value-based health systems. Many …
Bottom-up and top-down paradigms of artificial intelligence research approaches to healthcare data science using growing real-world big data
Objectives As the real-world electronic health record (EHR) data continue to grow
exponentially, novel methodologies involving artificial intelligence (AI) are becoming …
exponentially, novel methodologies involving artificial intelligence (AI) are becoming …
Big Data in sleep apnoea: Opportunities and challenges
JL Pépin, S Bailly, R Tamisier - Respirology, 2020 - Wiley Online Library
Sleep apnoea is now regarded as a highly prevalent systemic, multimorbid, chronic disease
requiring a combination of long‐term home‐based treatments. Optimization of personalized …
requiring a combination of long‐term home‐based treatments. Optimization of personalized …
Artificial intelligence and sleep: Advancing sleep medicine
NF Watson, CR Fernandez - Sleep medicine reviews, 2021 - Elsevier
Artificial intelligence (AI) allows analysis of “big data” combining clinical, environmental and
laboratory based objective measures to allow a deeper understanding of sleep and sleep …
laboratory based objective measures to allow a deeper understanding of sleep and sleep …
Artificial intelligence, real-world automation and the safety of medicines
A Bate, SF Hobbiger - Drug Safety, 2021 - Springer
Despite huge technological advances in the capabilities to capture, store, link and analyse
data electronically, there has been some but limited impact on routine pharmacovigilance …
data electronically, there has been some but limited impact on routine pharmacovigilance …
Machine learning in prediction of bladder cancer on clinical laboratory data
IJ Tsai, WC Shen, CL Lee, HD Wang, CY Lin - Diagnostics, 2022 - mdpi.com
Bladder cancer has been increasing globally. Urinary cytology is considered a major
screening method for bladder cancer, but it has poor sensitivity. This study aimed to utilize …
screening method for bladder cancer, but it has poor sensitivity. This study aimed to utilize …
Electronic health records and stratified psychiatry: bridge to precision treatment?
The use of a stratified psychiatry approach that combines electronic health records (EHR)
data with machine learning (ML) is one potentially fruitful path toward rapidly improving …
data with machine learning (ML) is one potentially fruitful path toward rapidly improving …
[HTML][HTML] Natural language processing and machine learning methods to characterize unstructured patient-reported outcomes: validation study
Background Assessing patient-reported outcomes (PROs) through interviews or
conversations during clinical encounters provides insightful information about survivorship …
conversations during clinical encounters provides insightful information about survivorship …