Artificial intelligence in public health

Scitech Report

12 April, 2021 12:00 AM printer

Artificial intelligence in public health

The prescription for prosperity in a resource-constrained world is to reduce disease burden through validated scientific interventions, said a public health expert,

Digital technology, machine learning, and Artificial Intelligence (AI), according to the expert, are causing a paradigm shift in the fields of medicine, science, and public health as a result of the increasing proliferation of healthcare data.

Mehdi Reja, a community health and social impact professional, shared his views on artificial intelligence and his experiences with it (AI).

AI-assisted therapies, he said, have been widely used and are now seen as a key enabler for clinical decision making, medical imaging, chronic care management, self-care, prevention and wellbeing, and corona case prediction.

“AI-based solutions can be a force multiplier in reducing disease burden through early and rapid detection, which aims to shorten recovery times, increase access to care, and accelerate the spread of medical innovation,” Mehdi added.

Deep learning technology and millions of images are used in AI-based products to identify and localize abnormalities on X-rays, MRIs, and CT scans.

Global private investment in AI in 2019 totaled more than US$70 billion, according to the Stanford Institute for Human-Centered Artificial Intelligence's 2019 AI Index Survey.

The United States, China, and Europe got the most, with Israel, Singapore, and Iceland investing the most per capita. AI-based startups are a significant part of the economy, according to the report, with more than $37 billion in funding raised globally in 2019, up from $1.3 billion in 2010.

According to Mahdi, resource-constrained Low-and Mid-Income Countries (LMICs) may struggle to develop AI-based healthcare infrastructure solutions, but in the long run, it could prove transformative for public health.

He helped to apply artificial intelligence in identifying new tuberculosis cases at an early stage, which saved many lives.

 


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