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Wednesday, March 24, 2021
2 PM ET / 11AM PT
Motion control is what makes robotics systems ‘robotic’, and it is advances in motion control technologies that have spurred a great deal of robotics innovation and a dramatic increase in the use of robotics technologies and products around the globe, including for healthcare applications. But compared to industrial and consumer motion control technologies, solutions for healthcare applications typically have different, and often very stringent, functional requirements in areas such as safety, reliability, tolerances, cleanability, sterilization and more. In this webinars, attendees will learn how the latest products and technologies support the development of advanced healthcare robotics systems and allow for new capabilities, new applications, and entry into new markets.
Date / Time – Wednesday, March 24, 2021 2 PM ET / 11 AM PT
Dan Kara is Vice President, Robotics at WTWH Media where he chartered with driving the company’s robotics initiatives including the Robot Report and Robotics Business Review online portals and the Robotics Summit Conference and Exposition, Healthcare Robotics Engineering Forum, RoboBusiness Conference & Expo and the International Field Robotics Engineering Forum. Prior to joining WTWH, he was Practice Director, Robotics and Intelligent Systems at ABI Research and Chief Research Officer for Myria RAS, both research and advisory services firms focused on automation, robotics and intelligent systems. Dan was also President of Robotics Trends, an integrated media and research firm serving the personal, service and industrial robotics markets. Dan has also worked as Executive Vice President of Intermedia Group, and Director of Research at Ullo International.
There is no charge to attend this webinar.
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Roger Max says
Applications of AI in Healthcare
Artificial Intelligence is becoming more powerful and has enormous potential in the healthcare industry. Deep-learning technology is revolutionizing the operational process of the healthcare industry opening more opportunities for automation into various sub-fields. Applications of Artificial Intelligence in Healthcare are expanding into numerous subfields like diagnostic automation, treatment predictions, gene sequencing, and drug development that will drastically improve the quality, efficiency, and accessibility of the entire healthcare sector.
AI-enabled systems will not be able to completely replace human medical experts, rather they will enhance their capabilities and effectiveness by automating the most repetitive activities that are homogenous and prone to errors. AI-backed Machines use Computer Vision to detect patterns and co-relate the same with medical imaging data to identify possible diseases and prepare reports after analysis. X-Rays, CT scans, MRIs and other image-based test reports can be easily screened to predict various ailments. We empower AI-enabled companies to create training data sets and develop cutting edge machine learning algorithms for the healthcare industry.