Foundation models for generalist medical artificial intelligence

🤖 Plain-English Summary

The exceptionally rapid development of highly flexible, reusable artificial intelligence (AI) models is likely to usher in newfound capabilities in medicine. We expect that GMAI-enabled applications will challenge current strategies for regulating and validating AI devices for medicine and will shift practices associated with the collection of large medical datasets.

🔑 Key Findings

• We propose a new paradigm for medical AI, which we refer to as generalist medical AI (GMAI).
• GMAI models will be capable of carrying out a diverse set of tasks using very little or no task-specific labelled data.
• Built through self-supervision on large, diverse datasets, GMAI will flexibly interpret different combinations of medical modalities, including data from imaging, electronic health records, laboratory results, genomics, graphs or medical text.

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