What is it about?

This research investigated the use of artificial intelligence (AI) and machine learning in health tech startups to manage coronavirus. The study uses the case study approach to provide valuable insights showing that the health tech start-ups are helping the community to fight the pandemic. This study established that certain development strategies such as app-based solution for the healthcare information, the Unstructured Supplementary Service Data (USSD), and the use of geo-mobility intelligence in controlling the spread of COVID-19 mainly in Rural India have proved to be successful. This study also highlights some of the health tech start-ups’ (Aiisma, Qure.ai, and TruFactor) initiatives that are helping the community and health industry. These start-ups mainly made their focus on the use of AI, and machine learning that have been chosen to help in the examination of the current needs, use, and roles of technology in controlling the COVID-19 pandemic.

Featured Image

Why is it important?

These start-ups mainly made their focus on the use of AI, and machine learning that have been chosen to help in the examination of the current needs, use, and roles of technology in controlling the COVID-19 pandemic.

Perspectives

This study looked at how health IT businesses employ AI and machine learning to control coronavirus. The report provides case studies to highlight how health tech start-ups are helping the community combat the epidemic. This research found that using app-based solutions for healthcare information, USSD, and geo-mobility intelligence to prevent the spread of COVID-19 in rural India was effective. This report also emphasises AIISMA, Qure.ai, and TruFactor's community and industry activities. These start-ups focused on AI and machine learning to assist examine the existing demands, usage, and responsibilities of technology in combating the COVID-19 epidemic.

Dr. Jitendra Yadav
ICFAI Foundation for Higher Education

Read the Original

This page is a summary of: Artificial Intelligence and Machine Learning as a Tool for Combating COVID-19: A Case Study on Health-Tech Start-ups, July 2021, Institute of Electrical & Electronics Engineers (IEEE),
DOI: 10.1109/icccnt51525.2021.9579950.
You can read the full text:

Read

Resources

Contributors

The following have contributed to this page