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Using Machine learning to find gender differences in the bone morphology of the first rib

Principal Investigator
Name
Andreas Prescher
Degrees
Prof. Dr. med.
Institution
MOCA, Institute of Molecular and Cellular Anatomy, RWTH Aachen University
Position Title
Leader: Gross anatomy
Email
About this CDAS Project
Study
NLST (Learn more about this study)
Project ID
NLST-554
Initial CDAS Request Approval
Aug 22, 2019
Title
Using Machine learning to find gender differences in the bone morphology of the first rib
Summary
In our Project we are going to use your Database combined with Machine learning algorithms to see if there is a sex dimorphism in the anatomy of the first rib. It will be one building block in our attempt to find out why women are four times more likely to develop Thoracic outlet syndrome.
Aims

- find gender differences in the anatomy of the first rib

Collaborators

PD Dr. med. Franz Lassner, Plastic Surgery - Pauwelsklinik Aachen
David Lassner, Machine Learning Group at Institute of Software Engineering and Theoretical Computer Science - TU Berlin
Robert Fox, Doctoral student, MOCA, Institute of Molecular and Cellular Anatomy, RWTH Aachen University