Machine Learning Engineer @ Mabel AI, Syntronic
Using AI to Preserve Privacy in Healthcare
Language barriers in health care are a major obstacle to national and global sustainable development goals for public health, health equality, and integration. Interpreters in healthcare is a non-regulated industry, with less than 1 % of the interpreters being certified in medical interpretation in Sweden. Often the interpreter knows the patient, making it difficult for the patient to have a private conversation with the doctor. In this talk, we will look at how modern NLP and speech technology can be used to create a secure and private interpretation system. We will go through our challenges in making such a system with the first version designed to help the Ukrainian refugees seeking healthcare across the EU. We will particularly look into dealing with noisy environments and biases in open-source datasets.
Alma Lund is a machine learning engineer at Mabel AI, where she brings the AI models closer to the people who need them the most. She has a background in engineering physics and computational sciences from Chalmers University of Technology and has a strong interest in creating frameworks for sustainable and inclusive AI.