Artificial Intelligence Applications in a Pandemic: COVID-19

The COVID-19 pandemic has highlighted the need for a smart digital healthcare system. Novel investigations and ideas are being developed to understand the pandemic, including data scientists, doctors, engineers, and economists. Challenges and data-driven healthcare applications are being explored, such as computing, AI apps, big data analytic techniques, and predictive scientific skill gaps.

Format: Hardback
Length: 144 pages
Publication date: 18 March 2022
Publisher: Taylor & Francis Ltd

The COVID-19 pandemic has brought attention to the importance of a smart digital healthcare system. This system involves the use of novel investigations to better understand the pandemic and its impact on society. It also presents the latest ideas developed for data scientists, doctors, engineers, and economists to address the challenges posed by the pandemic.

Analyses the various issues related to computing, AI apps, big data analytic techniques, and predictive scientific skill gaps. It also explains some interesting and diverse types of challenges and data-driven healthcare applications.

The smart digital healthcare system has the potential to revolutionize the way healthcare is delivered and improve patient outcomes. It involves the use of advanced technologies such as artificial intelligence, machine learning, and the Internet of Things to collect and analyze patient data. This data can be used to develop personalized treatment plans, predict disease outbreaks, and improve patient communication.

One of the key challenges facing the smart digital healthcare system is the issue of computing power. As more and more data is collected and analyzed, the demand for computing resources is increasing rapidly. This has led to the development of cloud computing, which allows for the storage and processing of large amounts of data on remote servers.

Another challenge is the development of AI apps that can accurately diagnose and treat patients. AI apps can analyze large amounts of data and identify patterns that human doctors may miss. However, there is still a need for more research to ensure that AI apps are safe and effective.

Big data analytic techniques are also being used to analyze patient data and identify trends that can help improve patient outcomes. These techniques involve the use of advanced statistical models and machine learning algorithms to analyze large datasets and identify patterns that can help predict disease outbreaks and develop new treatments.

However, there are also challenges associated with big data analytic techniques, such as the need for specialized expertise and the potential for bias in the data. Additionally, there is a need for more research to ensure that big data analytic techniques are ethical and responsible.

Predictive scientific skill gaps are also a challenge facing the smart digital healthcare system. As more and more data is collected and analyzed, there is a need for more skilled scientists and researchers to develop new treatments and technologies. However, there is a shortage of skilled workers in this field, which has led to a need for training programs and education initiatives.

In conclusion, the COVID-19 pandemic has highlighted the importance of a smart digital healthcare system. This system involves the use of novel investigations, advanced technologies, and big data analytic techniques to better understand the pandemic and its impact on society. While there are challenges associated with this system, such as computing power, AI apps, big data analytic techniques, and predictive scientific skill gaps, there are also opportunities for innovation and improvement. By continuing to invest in research and development, we can create a healthcare system that is more efficient, effective, and accessible to all patients.

Weight: 378g
Dimension: 160 x 241 x 16 (mm)
ISBN-13: 9780367644499