Effect of an artificial intelligence tool on management decisions for indeterminate pulmonary nodules

Roger Y Kim, Jason L Oke, Travis L Dotson, Christina R Bellinger, Anil Vachani, Roger Y Kim, Jason L Oke, Travis L Dotson, Christina R Bellinger, Anil Vachani

No abstract available

Keywords: artificial intelligence; clinical decision-making; lung neoplasms; risk assessment.

References

REFERENCES

    1. Vliegenthart R, Fouras A, Jacobs C, Papanikolaou N. Innovations in thoracic imaging: CT, radiomics, AI and x-ray velocimetry. Respirology. 2022;27(10):818-33.
    1. Kim RY, Oke JL, Pickup LC, Munden RF, Dotson TL, Bellinger CR, et al. Artificial intelligence tool for assessment of indeterminate pulmonary nodules detected with CT. Radiology. 2022;304(3):683-91.
    1. Massion PP, Antic S, Ather S, Arteta C, Brabec J, Chen H, et al. Assessing the accuracy of a deep learning method to risk stratify indeterminate pulmonary nodules. Am J Respir Crit Care Med. 2020;202(2):241-9.
    1. Baldwin DR, Gustafson J, Pickup L, Arteta C, Novotny P, Declerck J, et al. External validation of a convolutional neural network artificial intelligence tool to predict malignancy in pulmonary nodules. Thorax. 2020;75(4):306-12.

Source: PubMed

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