Building AI That Learns and Adapts: A Case Study in MRI Diagnostics - Agata Chudzińska - NDC AI 2025 скачать в хорошем качестве

Building AI That Learns and Adapts: A Case Study in MRI Diagnostics - Agata Chudzińska - NDC AI 2025

CTO / AI Solutions Architect at theBlue.ai GmbH This talk was recorded at NDC AI in Oslo, Norway. #ndcai #ndcconferences #developer #softwaredeveloper Attend the next NDC conference near you: https://ndcconferences.com https://ndc-ai.com/ Subscribe to our YouTube channel and learn every day: / ‪@NDC‬ Follow our Social Media!   / ndcconferences     / ndc_conferences     / ndc_conferences   #ai #machinelearning #architecture Explore how AI and continual learning can revolutionize MRI diagnostics, using our real-world case study in detecting Focal Cortical Dysplasias (FCD)—a crucial factor in epilepsy treatment. In this session, we’ll dive into how continual learning techniques, inspired by human adaptability, help AI models improve diagnostic accuracy, minimize false positives, and handle evolving data in medical settings. We’ll discuss challenges like catastrophic forgetting, maintaining model performance in dynamic environments, and practical strategies that developers can apply to other domains. Gain hands-on insights into building resilient AI systems that evolve and adapt to new data, ensuring long-term reliability in critical applications.