Prediction of Anti-VEGF Treatment Requirements in Neovascular AMD Using a Machine Learning Approach.

@article{Bogunovi2017PredictionOA,
  title={Prediction of Anti-VEGF Treatment Requirements in Neovascular AMD Using a Machine Learning Approach.},
  author={Hrvoje Bogunovi{\'c} and Sebastian M. Waldstein and Thomas Schlegl and Georg Langs and Amir Sadeghipour and Xuhui Liu and Bianca S. Gerendas and Aaron Osborne and Ursula M Schmidt-Erfurth},
  journal={Investigative ophthalmology & visual science},
  year={2017},
  volume={58 7},
  pages={3240-3248}
}
Purpose The purpose of this study was to predict low and high anti-VEGF injection requirements during a pro re nata (PRN) treatment, based on sets of optical coherence tomography (OCT) images acquired during the initiation phase in neovascular AMD. Methods Two-year clinical trial data of subjects receiving PRN ranibizumab according to protocol specified criteria in the HARBOR study after three initial monthly injections were included. OCT images were analyzed at baseline, month 1, and month 2… CONTINUE READING

Citations

Publications citing this paper.
Showing 1-8 of 8 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 23 references

Similar Papers

Loading similar papers…