
A thought-leader identifies five crucial capabilities required for AI to succeed in healthcare, including radiology.
Key Details
- 1Explainable AI will be crucial to build trust among clinicians and patients.
- 2Causal inference is expected to make AI recommendations more robust and reliable.
- 3Federated learning will allow AI to learn from diverse datasets without compromising patient privacy.
- 4Integration of multimodal data—including imaging, genomics, and clinical notes—will be necessary for comprehensive insights.
- 5Continuous learning will enable AI systems to adapt to new data and evolving clinical practices.
Why It Matters

Source
AI in Healthcare
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