Recommendations for AI and machine learning in healthcare
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Muyinatu Bell shares her top recommendations for healthcare innovators implementing artificial intelligence and machine learning solutions
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In the lead up to Intelligent Automation in Healthcare 2018, Bell shares her thoughts on being selected by MIT Technology Review as one of 35 Innovators Under 35 in 2016, her thoughts on the next generation of healthcare, how intelligent automation technologies helped inspire her to develop innovative biomedical solutions, and what she hopes attendees will learn from her keynote session.
An assistant professor of electrical & computer engineering with a joint appointment in the Department of Biomedical Engineering at Johns Hopkins University, Dr Bell directs the Photoacoustic and Ultrasonic Systems Engineering (PULSE) Lab—a highly interdisciplinary research lab that integrates optics, acoustics, robotics, signal processing, and medical-device design to engineer and deploy innovative biomedical imaging systems that simultaneously address unmet clinical needs and significantly improve the standard of patient care.
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