From drug design to EHR documentation, we break down 7 ways health systems can leverage generative AI — and the vendors building these solutions.
Updated December 4, 2023.
Generative AI — which refers to AI technologies that generate entirely new content, from images to lines of code to paragraphs of text — could have major implications for healthcare.
Pharma players and hospital systems are already adopting the tech to generate synthetic patient data, design novel proteins in a fraction of the time, and more. It’s estimated that, by 2025, over 30% of new drugs will be discovered using generative AI.
Healthcare incumbents, tech giants, and startups alike are eyeing opportunities. Among big tech companies, for instance, Google and DeepMind developed MedPaLM, a large language model (LLM) trained on medical datasets that can respond to healthcare queries. Similarly, Microsoft subsidiary Nuance is using OpenAI‘s GPT-4 to document and summarize patient diagnoses and treatment plans.
Here are 7 ways generative AI can scale critical work for healthcare and life sciences companies:
- Protein & drug design
- Biomedical NLP
- Patient digital twins
- EHR documentation
- Wellness tech
- Synthetic patient data
- Radiology image enhancement
Dive deeper into each area — including vendors building relevant tech solutions — below.
Want to see more research? Join a demo of the CB Insights platform.
If you’re already a customer, log in here.
