Why and how we must accelerate AI’s impact on global health

​World Economic Forum Annual Meeting

• While AI-driven healthcare solutions have proven their impact and reliability, healthcare organizations struggle to achieve the desired value from their investments in AI.
• The most promising use cases are in early diagnosis and risk stratification for chronic disease, but AI also has the potential to revolutionize drug discovery and health system operations.
• AI's impact on global health depends on three enablers: usable, representative data; trustworthy design; and, scalability.

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​3 MEGA-TRENDS DRIVING AI INNOVATION IN HEALTHCARE

Three seismic shifts are driving AI innovation and AI’s impact on global health. Firstly, there is the data deluge. The doubling time for medical knowledge in 1950 was 50 years. In 2020 it was 73 days. In our survey of 1,000 doctors in the US, Europe and Asia, the vast majority said they’re overwhelmed by the volume of patient data. Without technology, humans can’t keep up.

Secondly, there are novel problems. COVID-19 exacerbated existing healthcare issues, worsening an already severe doctor shortage and testing the solvency of many hospitals, among other issues. Technology must enable healthcare providers to do more with less or else patients will suffer.

Thirdly, there is a technological renaissance. Look at ChatGPT or what deep learning can do to unlock the mysteries of the universe in search of cures.

​Read the full article here.

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