Introducing Artificial Intelligence Training in Medical Education
In this paper, we have addressed the state of medical education at present and have recommended a framework on how to evolve the medical education curriculum to include AI.
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Artificial Intelligence (AI) Provided Early Detection of the Coronavirus (COVID-19) in China and Will Influence Future Urban Health Policy Internationally
This paper surveys how data and AI processes aided in the early stages of the detection of the COVID-19 pandemic and provides preliminary supporting evidence to showcase that enhanced data sharing protocols will contribute to future urban health policy internationally.
Read More.Artificial Intelligence: The Future for Diabetes Care
The purpose of this review is to provide an overview of the scope and utility of AI in the prevention, diagnosis, and treatment of diabetes.
Read More.On the Coronavirus (COVID-19) Outbreak and the Smart City Network: Universal Data Sharing Standards Coupled with Artificial Intelligence (AI) to Benefit Urban Health Monitoring and Management
This perspective paper, written one month after detection and during the outbreak, surveys the virus outbreak from an urban standpoint and advances how smart city networks should work towards enhancing standardization protocols for increased data sharing in the event of outbreaks or disasters, leading to better global understanding and management of the same.
Read More.Use of Artificial Intelligence for Improving Patient Flow and Healthcare Delivery
In this review, we will provide an overview of applications of AI in improving patient flow to the hospital and patient transfer within a hospital.
Read More.Artificial intelligence can categorise cancer risk of lung nodules
A study published in American Journal of Respiratory and Critical Care Medicine indicates that an artificial intelligence strategy can correctly assess and categorise these indeterminate pulmonary nodules (IPNs).
Read More.Predictions for Telehealth in 2020: Will This be the Takeoff Year?
Experts offer their shared and unique predictions on the next big thing(s) in telehealth in 2020.
Read More.Implementation Considerations for Blockchain in Healthcare Institutions
This article aims to provide a primer on blockchain technology and implementation considerations for blockchain at healthcare institutions.
Read More.‘Fit-for-purpose?’ – challenges and opportunities for applications of blockchain technology in the future of healthcare
In the health sector, blockchain is being aggressively explored by various stakeholders to optimize business processes, lower costs, improve patient outcomes, enhance compliance, and enable better use of healthcare-related data. However, critical in assessing whether blockchain can fulfill the hype of a technology characterized as ‘revolutionary’ and ‘disruptive’, is the need to ensure that blockchain design elements consider actual healthcare needs from the diverse perspectives of consumers, patients, providers, and regulators. In addition, answering the real needs of healthcare stakeholders, blockchain approaches must also be responsive to the unique challenges faced in healthcare compared to other sectors of the economy. In this sense, ensuring that a health blockchain is ‘fit-for-purpose’ is pivotal. This concept forms the basis for this article, where we share views from a multidisciplinary group of practitioners at the forefront of blockchain conceptualization, development, and deployment.
Read More.Top 10 Blockchain Predictions for the (Near) Future of Healthcare
Blockchain in Healthcare Today (BHTY) asked the world’s blockchain in healthcare experts to share their insights. Here, our internationally-renowned BHTY peer-review board discusses their major predictions.
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