Machine learning paper on new diagnostic tool published in veterinary journal by AVI member, Dr. Krystle L. Reagan and colleagues. Read the Feb. 13, 2020 press release in UC Davis News: Veterinarians Use Artificial Intelligence to Aid in the Diagnosis of Addison’s Disease. 

K. L. Reagan, B. A. Reagan, C. Gilorc (2020) Machine learning algorithm as a diagnostic tool for hypoadrenocorticism in dogs. Domestic Animal Endocrinology 72: 106396. 

https://doi.org/10.1016/j.domaniend.2019.106396

New paper on syndromic surveillance published in PLOS ONE by our 2019 Talbot Symposium Student Speaker, Dr. Nathan Bollig.

Bollig N, Clarke L, Elsmo E, Craven M (2020) Machine learning for syndromic surveillance using veterinary necropsy reports. PLOS ONE 15(2): e0228105. 

https://doi.org/10.1371/journal.pone.0228105

Updated: December 2020

March 9, 2021

Aubreville, M., Bertram, C.A., Marzahl, C. et al. Deep learning algorithms out-perform veterinary pathologists in detecting the mitotically most active tumor region. Sci Rep 10, 16447 (2020). https://doi.org/10.1038/s41598-020-73246-2 

Bradley, R., Tagkopoulos, I., Kim, M. et al. Predicting early risk of chronic kidney disease in cats using routine clinical laboratory tests and machine learning. JVIM 33, 6 (2019). https://doi.org/10.1111/jvim.15623