Aspire to Innovate (a2i) is a work on how artificial intelligence can help national healthcare, what challenges lie ahead, and what can be done to overcome obstacles and provide better healthcare. We held a shop.
The full-day workshop was held on Tuesday at the conference hall of the capital’s Institute of Epidemiology, Disease Control and Research (IEDCR), according to a press release.
Dr Md Anwar Hossain Howlader, Secretary of the Department of Medical Services, attended the workshop as a featured guest. A2i’s Project Director (Co-Executive Director), Dr. Dewan Muhammad Humayun Kabir, and his Policy Advisor, Anir Chowdhury, were present as special guests.
Hawaii Pacific University has published two policy research papers on “AI for Social Good” under the auspices of the a2i program, the Association of Pacific Rim Universities (APRU), Google, the United Nations Economic and Social Commission for Asia and the Pacific, and a research team at announced. National University of Singapore.
courtesy The workshop will discuss how this policy research paper can help in the application of artificial intelligence at the national level in national health services, and what technical complications this research results bring to the risk analysis of pregnancy monitoring. I emphasized what is possible and what can be done. It is done to resolve complications.
The aim of this workshop is to disseminate the findings of the research paper to current public and private partners, advance the findings, and provide key points for early inclusion in government policy on the application of artificial intelligence in pregnancy monitoring and policy action. was to identify
Two research papers on pregnancy monitoring have been published. “AI Mobilization for Maternal Health in Bangladesh” by Dr. Olivia Jensen and “Artificial Intelligence (AI) in Pregnancy Monitoring: Technical Challenges in Bangladesh” by Dr. Arif Rahman.
Researchers reveal how governments can coordinate and use this technology in the healthcare sector, and what policy decisions governments can make in this regard.
This paper seeks to explore the potential benefits of introducing an AI-based pregnancy monitoring system in Bangladesh to improve maternal health.
Workshop speakers said there is an opportunity to improve public health care, including maternal health care, by using artificial intelligence technology in the country. However, there are some technical and infrastructure challenges in this regard. There is no substitute for these developments in the development of national medicine.
Guest, on the other hand, proposed enacting policy legislation on the use of artificial intelligence for healthcare development.
