National Institutes of Health-Funded Artificial Intelligence and Machine Learning Research, 2019-2023:...

Area of Science:

• Biomedical research
• Health informatics
• Computational biology

Background:

• The National Institutes of Health (NIH) has increasingly recognized the potential of artificial intelligence (AI) and machine learning (ML) in advancing biomedical research.
• Historical funding trends may not fully reflect the growing emphasis on AI/ML applications in health.

Purpose of the Study:

• To quantify the inflation-adjusted funding trends for AI/ML research at the NIH between fiscal year 2019 and 2023.
• To compare the growth rate of AI/ML research funding against the overall NIH budget increase.

Main Methods:

• Analysis of NIH funding data, adjusted for inflation.
• Comparative analysis of AI/ML specific research budgets versus the total NIH budget.
• Fiscal year data extraction for FY2019 through FY2023.

Main Results:

• Inflation-adjusted funding for AI/ML research experienced a substantial increase of 233% between FY2019 and FY2023.
• The growth in AI/ML funding significantly surpassed the overall NIH budget increase of 12% during the same timeframe.
• This indicates a strategic prioritization of AI/ML within NIH research investments.

Conclusions:

• NIH investment in AI/ML research has grown dramatically, highlighting its critical role in future biomedical advancements.
• The accelerated funding growth suggests a strong commitment to leveraging AI/ML for health research innovation.
• Future research funding allocations are likely to continue favoring AI/ML-driven initiatives.