NVIDIA healthcare survey shows surge in AI adoption and strong ROI
The State of AI in Healthcare report by NVIDIA highlights strong momentum as organisations deploy generative AI instead of relying on traditional clinical and administrative processes.
AI is reshaping healthcare as organisations shift from trial projects to large-scale deployment.
The latest industry survey from NVIDIA shows widespread adoption across digital healthcare, biotechnology, pharmaceuticals and medical technology, signalling a sector that is now executing rather than experimenting.
Uptake is expanding rapidly, with generative AI and large language models becoming central tools for clinical and operational tasks.
The report highlights how medical imaging, drug discovery and clinical decision support are among the most prominent applications. Radiologists are using AI to accelerate image analysis, while research teams apply advanced models to speed early-stage drug development.
Organisations benefit from workflow optimisation instead of relying on manual administrative routines, with many citing improvements in patient coordination, documentation and coding.
Open-source models are increasingly important, with most respondents considering them vital for domain-specific development.
Experts argue that open-source innovation will guide exploration, whereas deployment in clinical environments will demand rigorous validation and accountability rather than unrestricted experimentation.
Agentic AI is emerging as a new capability for knowledge retrieval and literature analysis.
Evidence of return on investment is clear, prompting 85% of organisations to expand their AI budgets. Many report higher revenue, reduced costs and significant gains in back-office productivity.
Evaluation is becoming a core operational requirement, ensuring AI continues to improve safety, quality and overall clinical performance over time.
Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!