Mayo Clinic

Arizona • Florida • Minnesota

The future is now.

We’re at a turning point in history where health and technology are combing in ways never before possible and there is no better organization for making the impossible–possible. We work every day to serve our patients and recognize our incomparable clinicians with the highest regard. We serve them first, in service of our patients. The power of our technology lies both in our incredible people–and who they are helping.

What will AI do for patients?

AI will transform healthcare for patients by

  • enabling faster, more accurate diagnoses

  • personalizing treatment plans

  • improving access to care

AI can produce
Knowing how to structure that data into specialized clinical workflows is a complex human layer involving an assortment of learning styles, specialties, workflows, and nuance.

Year 2025
Liquid biopsies analyze blood samples to detect fragments of tumor DNA. AI models are being trained to detect subtle patterns in these DNA fragments to identify cancer types and stages. This technology is promising but still limited in accuracy, accessibility, and scale.

Year 2030

  • Early detection of multiple cancers (even before symptoms appear) from a single blood test

  • Personalized risk profiles for patients based on genetics, lifestyle, and biomarkers

  • Real-time monitoring of cancer recurrence or treatment response using AI to detect changes in blood biomarkers

This could dramatically improve survival rates through earlier intervention and reduce the need for invasive diagnostics.

Contribution areas

  • Deepening our understanding of clinical data presentation and preferences, is crucial to our work.

  • Extracting new views and new value from the health recored utilizing human development talents and artificial intelligence to pioneer new approaches to clinical data.

  • Partnering with nurse practitioners and digital builders to craft the first digital surgical safety checklist in clinic history.

  • Designing clinical AI chat experiences for clinically trained models.

Dream Team.

When the business is people, the people make the business.