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Discover how Signal 1 implements machine learning models across multiple hospital settings in this 30-minute conference talk from the Toronto Machine Learning Series. Learn about zero-shot learning applications for patient deterioration prediction that can generalize to new hospitals, and explore the microservice architecture enabling timely inference results for data-driven patient care decisions. Gain practical insights into developing and deploying AI applications that integrate seamlessly into clinical environments, with detailed technical knowledge about model development, deployment strategies, and real-world healthcare applications. Join Machine Learning Scientist Jullian Yapeter for an in-depth technical discussion at the intersection of AI and healthcare, examining both the challenges and solutions in scaling AI systems for hospital environments.
