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7 applications of generative AI in healthcare

From drug design to EHR documentation, we break down 7 ways health systems can leverage generative AI — and the vendors building these solutions.


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