NVIDIA's Survey Reveals Healthcare AI is Booming

NVIDIA's recent survey reveals a significant shift in the healthcare industry, with 70% of organisations actively using AI, achieving measurable returns in key areas.

TL;DR
• NVIDIA's survey reveals 70% of healthcare organisations are using AI.
• AI adoption is driving measurable returns in medical imaging and drug discovery.
• Open-source models and agentic AI are key to scaling AI in healthcare.

Summary
The healthcare industry is experiencing a significant surge in AI adoption, with 70% of organisations actively using AI, up from 63% in 2025. This growth is driven by the need for efficient solutions, with 69% of organisations using generative AI and large language models. Key areas of AI application include medical imaging, drug discovery, and administrative workflow optimisation. AI is generating strong returns when applied to specific healthcare use cases, with 57% of medical technology organisations reporting ROI from AI in medical imaging, and 46% of pharmaceutical and biotech organisations achieving ROI from AI in drug discovery and development. The top ROI-generating applications include medical imaging, workflow optimisation, and natural language processing for clinical documentation. The industry is also witnessing the emergence of agentic AI, with 47% of respondents using or assessing AI agents, and 22% having already deployed them. Open-source tools are central to this expansion, with 82% of respondents saying open-source models and software are crucial to their AI strategy. Key actionable insights include:
• 70% of healthcare organisations are actively using AI.
• 69% of organisations are using generative AI and large language models.
• AI generates strong returns when applied to specific healthcare use cases.
• Open-source tools are essential for AI strategy, with 82% of respondents considering them crucial.
• 85% of management respondents say AI has increased annual revenue, and 80% report reduced annual costs.

As AI continues to transform healthcare, it's essential to address the challenges facing its adoption and ensure that it delivers measurable improvements in safety, quality, and patient care.