Announcing the Symposium Artificial Intelligence in Veterinary Medicine at @cornellvet Join us at @Cornell for this multidisciplinary event! Dates: April 19-21, 2024 Abstract Submission Deadline: January 15, 2024 #vetmed #ArtificialIntelligence web.cvent.com/event/1992516f…

… but performance dropped when discriminating IBD from lymphoma. Performance did not improve when combining CBC/serum data with radiomics data 9/n

… and models (particularly the radiomics features only) to identify cats that benefit from a biopsy also performed well: 8/n

We found we could develop models to predict normal from abnormal with very high accuracy (~90%). 7/n

We developed 4 different models: Normal vs Abnormal; Does the cat require or not require a biopsy; and models that could discriminate IBD/Lymphoma/Other (+/- Healthy) 5/n

Our study developed a number of models using different combinations of data 4/n

May the Forth be with you! #vetmed

We are also really excited that a figure we created is on the cover of the journal! (That makes 2 journals our lab's work has made the cover page of a journal this year!).

Our latest publication on the variations and reproducibility of #feline #ultrasound small intestine measurements. Congrats to our #undergrad student Jasmine Chang on a first-author paper! onlinelibrary.wiley.com/doi/…

Our latest publication on unsupervised ML to detect key frames from video data is now available online! mdpi.com/2306-5729/7/5/68 #machinelearning #dairy #ai

You can visualize the improvement in separating the 4 different classes with a t-SNE map: