Machine Learning–Guided Detection of Malignancy of Lung Nodules With Molecular Imaging–Guided Surgery
In this cohort study of patients with indeterminate lung nodules, intraoperative imaging data analyzed by AI accurately determined if a nodule was malignant. This has the potential to improve the diagnostic challenges that occur at the time of surgery.
Authors
- Kucharczuk Jc
- Gregory T. Kennedy (ORCID: https://orcid.org/0000-0002-5843-3998)
- Azra Din
- Austin Chang (ORCID: https://orcid.org/0000-0001-7343-6874)
- A. Chang
- Edward J. Delikatny (ORCID: https://orcid.org/0000-0001-5234-3724)
- Bilal Nadeem (ORCID: https://orcid.org/0000-0001-9886-5325)
- Feredun Azari
- Sunil Singhal
- Andrew Hanna
- Sardar Azari
Institutions
- Cleveland Clinic (US)
- Palo Alto University (US)
- Cleveland Foundation (US)
- University of Pennsylvania (US)
Publication Details
- Journal
- JAMA Network Open
- Published
- 2026-01-13
- DOI
- https://doi.org/10.1001/jamanetworkopen.2025.51734
- Primary Topic
- Lung Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Society of Thoracic Surgeons
- National Institutes of Health