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September 19, 2024Annals of Medicine5 citationsOpen Access

Artificial intelligence-assisted quantitative CT parameters in predicting the degree of risk of solitary pulmonary nodules

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LJLong JiangYZYang ZhouMWMiao Wang

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Abstract

Artificial intelligence (AI) shows promise for evaluating solitary pulmonary nodules (SPNs) on computed tomography (CT). Accurately determining cancer invasiveness can guide treatment. We aimed to investigate quantitative CT parameters for invasiveness prediction.

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Jiang et al. (2024) studied this question.

synapsesocial.com/papers/68e57fb3b6db64358751d4d1https://doi.org/10.1080/07853890.2024.2405075
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