An international research team has developed groundbreaking artificial intelligence capabilities that can identify pain in cats. House cats often suffer chronic pain, but seasoned veterinarians find it difficult to detect it because of their evolutionary ability to hide discomfort. Deep learning models and facial recognition analysis enabled researchers to detect pain in cats by analyzing their ears, eyes, whiskers, and mustaches with an over 70% success rate. “This breakthrough has the potential to revolutionize the way we care for our feline friends and lead to a significant transformation of veterinary care,” explains doctoral student Marcelo Feighelstein, who led the study under the supervision of Prof. Anna Zamansky and Prof. Ilan Shimshoni(Department of Information Systems). The study findings were published in journal Scientific Reports. | READ MORE
In the News The University of Haifa proudly celebrates five alumni appointed to senior IDF General Staff positions, highlighting the University’s role in shaping Israel’s
In the News Ophir Netzer, a doctoral student at University of Haifa’s School of Psychological Sciences, has been awarded the prestigious President of Israel’s
In the News University of Haifa proudly welcomes six exceptional new faculty members joining after prestigious Alon Fellowships, Israel’s leading program for early-career academic