From screening to subtyping in a single glance.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 41142900.
- Also identified by DOI 10.1016/j.patter.2025.101391 and PMC identifier 12546660.
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Abstract
Fragmented AI tools struggle with the complex diagnosis of fine-grained diseases from radiological images. A new study in <i>Patterns</i> introduces the "screening-to-subtyping" (S2S) framework, a holistic deep learning system integrating the entire diagnostic workflow from detection to subtyping. Validated on complex thoracic cancers, the S2S-Med system demonstrated superior accuracy, outperforming existing benchmarks. A human-AI experiment revealed that the AI's performance surpassed AI-assisted physicians and that physician trust correlated with greater improvement. The S2S framework is a significant step toward enhancing precision medicine and establishing a new paradigm for human-AI partnership.