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AI-based tools to support decision-making in lung cancer screening

Principal Investigator
Name
Johanna Topalis
Degrees
M.Sc.
Institution
Department of Radiology, University Hospital, LMU Munich
Position Title
Doctoral student
Email
About this CDAS Project
Study
NLST (Learn more about this study)
Project ID
NLST-1034
Initial CDAS Request Approval
Mar 28, 2023
Title
AI-based tools to support decision-making in lung cancer screening
Summary
We will develop and evaluate AI-based tools to support decision-making in lung cancer screening with low-dose computed tomography. Hereby, we are targeting the detection, segmentation, and malignancy risk evaluation of lung nodules. We plan to train neural networks using data from the National Lung Screening Trial (NLST) and evaluate the models’ generalizability on data from a lung cancer screening trial in Canada.
Aims

Development and analysis of AI-based tools for the detection, segmentation, and malignancy risk evaluation of lung nodules

Collaborators

Johanna Topalis (Department of Radiology, University Hospital, LMU Munich)
Katharina Jeblick (Department of Radiology, University Hospital, LMU Munich; Comprehensive Pneumology Center (CPC-M), Member of the German Center for Lung Research (DZL), Munich; Munich Center for Machine Learning (MCML))
Michael Ingrisch (Department of Radiology, University Hospital, LMU Munich; Munich Center for Machine Learning (MCML))
Jakob Dexl (Department of Radiology, University Hospital, LMU Munich; Munich Center for Machine Learning (MCML))
Timo Löhr (Department of Radiology, University Hospital, LMU Munich; Chair of Artificial Intelligence and Machine Learning, Institute of Informatics, LMU Munich)
Andreas Mittermeier (Department of Radiology, University Hospital, LMU Munich)
Balthasar Schachtner (Department of Radiology, University Hospital, LMU Munich; Munich Center for Machine Learning (MCML))
Anna Theresa Stüber (Department of Radiology, University Hospital, LMU Munich; Department of Statistics, LMU Munich)
Tobias Weber (Department of Radiology, University Hospital, LMU Munich; Department of Statistics, LMU Munich; Munich Center for Machine Learning (MCML))
Philipp Wesp (Department of Radiology, University Hospital, LMU Munich)
Bastian Sabel (Department of Radiology, University Hospital, LMU Munich)
Theresia Aschauer (Department of Radiology, University Hospital, LMU Munich)
Philippe Després (Department of Physics, Physical Engineering, and Optics, Université Laval)
Yannick Lemaréchal (Department of Physics, Physical Engineering, and Optics, Université Laval)