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In 2023, it was forecast the number of FDA approvals for AI/ML-enabled medical technology innovations would reach ***. Starting only at * approvals in 2015, the number of innovations involving AI/ML that annually got approved by the FDA grew rapidly throughout the following years, reaching more than *** by 2020.

Priorities and challenges in healthcare AI implementation

Healthcare organizations are actively working to implement AI solutions, with varying levels of progress. In 2024, about ** percent of healthcare organizations reported mid-stage adoption of generative AI, with multiple solutions in production, while ** percent were at early-stage adoption. U.S. healthcare provider executives in 2023 cited adopting AI for clinical decision support tools (** percent) and predictive analytics (** percent) as priorities. However, the complexity of AI implementation is evident, as ** percent of healthcare organizations worldwide that were at a mature stage of AI adoption reported using natural language text in their AI applications, indicating the significance of sophisticated data processing capabilities.

Adoption in research and clinical settings

The medical technology sector has embraced AI across various domains. A 2024 global survey revealed that ** percent of respondents in the medical technology sector had partially employed AI in research and development, while ** percent utilized it in manufacturing. This widespread adoption extends to clinical settings, with ** percent of clinicians in China expressing trust in AI's readiness for medical use, the highest percentage globally as of 2022, followed by ** percent of the clinicians in Germany.