Oral Presentation QMSKI Conference 2024

Adaptation of DeepSurv for multimodal AI prognostic hip fracture risk models including image and risk factor data: Results from the Study of Osteoporotic Fractures (#258)

Niklas C Koser 1 , Eren B Yilmaz 1 2 , Nicolai R Krekiehn 1 , Steven R Cummings 3 4 , Claus-C. Glüer 1
  1. i²Lab@Section Biomedical Imaging, Dept. of Radiology and Neuroradiology, University Hospital Schleswig-Holstein (UKSH), Campus Kiel, Kiel, Schleswig-Holstein, Germany
  2. Dept. of Computer Science, Ostfalia University of Applied Sciences, Wolfenbüttel, Niedersachsen, Germany
  3. Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA
  4. San Francisco Coordinating Center, California Pacific Medical Center Research Institute, San Francisco, California, USA
Publish consent withheld
  1. Katzman JL, Shaham U, Cloninger A, Bates J, Jiang T, Kluger Y. DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural network. BMC Med Res Methodol. 26. Februar 2018;18(1):24.
  2. Huang, Gao, et al. "Densely connected convolutional networks." Proceedings of the IEEE conference on computer vision and pattern recognition. 2017.