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

Affiliations

¹ Division of Pulmonary, Allergy, and Critical Care, Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
² Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
³ Pulmonary, Critical Care, Allergy and Immunologic Diseases, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.

Free article

Roger Y Kim et al. Respirology. 2023 Jun.

Free article

. 2023 Jun;28(6):582-584.

doi: 10.1111/resp.14502. Epub 2023 Apr 5.

¹ Division of Pulmonary, Allergy, and Critical Care, Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
² Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
³ Pulmonary, Critical Care, Allergy and Immunologic Diseases, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.

No abstract available

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

References

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