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.

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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