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
aprescher@ukaachen.de

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