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A machine learning model for predicting pneumothorax risk after computed tomography-guided percutaneous

A machine learning model for predicting pneumothorax risk after computed tomography-guided percutaneous illustration

The important part of this research is not the drama of a single result, but what the result may let scientists do next. The immediate finding may be technical, but the long-term value is in what it could make safer, smarter, cheaper, faster, or easier to understand.

The test is not whether the discovery sounds impressive on first reading. It is whether the evidence is strong, the limits are clear, and the work gives other researchers a firmer platform for the next step.

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