Federated Multilingual Models for medical Transcript Analysis

Watch Tal Baumel from Microsoft present his virtual talk "Federated Multilingual Models for medical Transcript Analysis" at PyTorch Conference 2022. Text Analytics for Health is a healthcare-oriented NLP service and a part of Azure Cognitive Services that enables developers to process and extract insights from unstructured medical data. Developing large language models in the medical domain surfaces several issues in data and training methodology that are unique to the domain. First, to ensure high quality, it is required to expose the model to diverse medical specialties and languages. Such data is not publicly accessible and owned by worldwide healthcare organizations. Second, medical data is often secured by many data trust boundary restrictions and cannot be transferred and accessed freely between organizations. Last, to avoid privacy violation and data leakage data must be anonymized and de-identified prior to any usage in modeling. Visit our website: https://pytorch.org/ Read our blog: https://pytorch.org/blog/ Follow us on Twitter: https://twitter.com/PyTorch Follow us on LinkedIn: https://www.linkedin.com/company/pyto... Follow us on Facebook: https://www.facebook.com/pytorch #PyTorch #ArtificialIntelligence #MachineLearning