Developing AI Enabled Digital Health Applications - 18 de febrero de 2021 - TecnoWebinars.com

Artificial Intelligence techniques like Machine and Deep Learning are becoming mainstream technologies that can analyze large volumes of data and potentially unlock insights especially in biomedical applications. Artificial Intelligence systems in medicine have the potential to have a positive impact for improving healthcare outcomes. These capabilities are becoming mainstream and in early 2020, FDA approved the first cardiac ultrasound software that uses Artificial Intelligence to guide untrained technicians for capturing high quality ultrasound images.

In this introductory webinar, we would like to share real customer examples and case studies from medical devices industry on how MathWorks is enabling scientists and engineers to identify opportunities to leverage Artificial Intelligence techniques for developing Digital Health Applications. We will also cover how MATLAB & Simulink can be used for complying with global regulatory guidelines and international medical device standards.

Please allow approximately 45 minutes to attend the presentation and Q&A session. We will be recording this webinar, so if you can't make it for the live broadcast, register and we will send you a link to watch it on-demand.

About the Presenter

Kirthi K. Devleker is the global Medical Devices Industry Manager at MathWorks. In his current role, Kirthi Devleker closely works with customers developing Digital Health and Medical Devices, academic researchers, and regulatory authorities to help them see the value of modeling & simulation and how one can leverage latest trends such as AI to build the next generation medical devices. Prior to joining this role, Kirthi served as a senior product manager focusing on evolving the roadmap and long-term strategy for Artificial Intelligence and signal processing products at MathWorks. Kirthi has a background in signal and image processing and has been with MathWorks for 10 years. Kirthi has a MS in Electrical Engineering degree from San Jose State University, CA.