Developed to accelerate cancer clinical trial discovery
Medical imaging foundation models are changing how AI interprets scans, integrates clinical information, and supports multiple tasks from a shared computational base The approach uses large-scale pre-training to encode reusable knowledge into generalisable representations that can be adapted for classification, segmentation, detection, report generation, medical question answering, and prognosis. A new review maps the field’s technical routes and emerging applications while warning that impressive benchmark scores do not yet prove clinical benefit and argues that progress should be judged by generalisability, reliability, workflow value, safety, and accountability, not just by model size or the number of tasks covered. AI is…
The new technique could help scientists learn how the entire brain works to generate decisions and emotions
The lab will provide products and services to a global customer base
The aim is to expand AI access and empower researchers
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