About this Session:
The health industry is embracing the power of big data, cloud compute, and clinical analytics, harnessing data to deliver insights that can improve care and efficiency. Still, unstructured text remains a challenge ? made even more complex by barriers of language. Doctors? notes and other unstructured text are often left unreferenced, are hard to parse and learn from, and are hard to extract insights from, which leads to missed opportunities for diagnosis and creating better care plans. Microsoft recognizes the power of being able to not only gather insights from this data, but also use it to develop and responsibly train AI ? for better, faster, and more personalized care. With Azure Text Analytics for Health, we can now extract meaningful insights from unstructured text in multiple languages and process it in a way that empowers clinical decision support like never before. Now released in seven languages, TA4H is a groundbreaking technology that helps extract insights from multilingual unstructured clinical notes in a way that can transform the delivery of care. Join us to learn about how this important technology can empower organizations to use all available sources of health data in a more meaningful way. Speaker: Hadas Bitran, Partner Group Manager, Health AI, Microsoft Health & Life Sciences @ Microsoft