Assessing clinician performance using a multi-modality clinical decision-support system for lung cancer prognostication

Abstract Surgery is the primary treatment for early-stage lung cancer. Adjuvant therapy is offered to patients who are at a high risk of recurrence, however, determining the patients that would benefit from additional therapy is often difficult. In this study, we aimed to develop a clinical decision...

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Bibliografische gegevens

Hoofdauteurs:	Jaryd R. Christie, Karen Eddy, Richard A. Malthaner, Mehdi Qiabi, Saurav Verma, Daniel Breadner, Pencilla Lang, Viswam S. Nair, Sarah A. Mattonen
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	Nature Portfolio 2025-12-01
Reeks:	Scientific Reports
Onderwerpen:	Deep learning Clinical decision-support system Multi-modality Lung cancer Computed tomography Positron emission tomography
Online toegang:	https://doi.org/10.1038/s41598-025-31204-w
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