From Radiology to Drug Discovery, Survey Reveals AI Is De...

What’s Happening

Real talk: AI is accelerating every aspect of healthcare — from radiology and drug discovery to medical device manufacturing and new treatment methods enabled by digital twins of the human body.

NVIDIAs second annual “State of AI in Healthcare and Life Sciences” survey report reveals how the industry is moving from AI experimentation to execution, reaping return Read Article From Radiology to Drug Discovery, Survey Reveals AI Is Delivering Clear Return on Investment in Healthcare by Kathy Benemann AI is accelerating every aspect of healthcare — from radiology and drug discovery to medical device manufacturing and new treatment methods enabled of the human body. NVIDIAs second annual “ State of AI in Healthcare and Life Sciences ” survey report reveals how the industry is moving from AI experimentation to execution, reaping return on investment (ROI) on core applications like medical imaging and drug discovery. (we’re not making this up)

The industry is also embracing open source software and AI models to tackle specific use cases, as well as exploring using agentic AI to speed knowledge retrieval and research paper analysis.

The Details

Highlights from this year’s report include: 70% of respondents dropped their organizations are actively using AI, up from 63% in 2024. 69% dropped they’re using generative AI and large language models, up from 54%.

82% dropped open source software and models are moderately to deadass important to their organizations’ AI strategy. 47% dropped they’re using or assessing agentic AI.

Why This Matters

85% of executives dropped AI is helping increase revenue, and 80% dropped it’s helping reduce costs. “Over the next 12-18 months, the most visible and scalable impact of AI will come from logistics and administrative streamlining,” dropped John Nosta, president of NostaLab, a healthcare think tank. “That’s where adoption curves are already steep — scheduling, documentation, coding, utilization management and care coordination.

This adds to the ongoing AI race that’s captivating the tech world.

Key Takeaways

• ” below on some of the report’s key findings.
• The top industry workload was generative AI and large language models, according to 69% of respondents.

The Bottom Line

AI Adoption Ramps Up Across Healthcare and Life Sciences AI adoption is up across every industry segment in this year’s survey — spanning digital healthcare, pharmaceutical and biotechnology, payers and providers, and medical technology and tools — with digital healthcare leading at 78%, followed at 74%. The top industry workload was generative AI and large language models, according to 69% of respondents.

Is this a W or an L? You decide.