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AI in Verticals Digital Symposium
April 27-28, 2022
Digital SymposiumDay One: 1-3pm ET | 10am-12pm PT, Day Two: 11am-2pm ET | 8-11am PT

Mario Lois
Global GM, WH Artificial Intelligence & Applied Research GE Healthcare – Women’s Health & X-Ray at GE Healthcare


Mario Lois is the Global General Manager for WH Artificial Intelligence & Applied Research, at GE Healthcare Women's Health & X-Ray business. In this role Mario leads GE Healthcare’s global strategy and efforts to develop and apply Artificial Intelligence (AI) into world-class solutions that improve screening, diagnosis and treatment of Breast Cancer (the most common cancer among women), while driving strategic business alignment for clinical and applied research initiatives across the broader women’s health and x-ray modalities.

Mario brings a wealth of experience with a solid background across science, clinical applications, product management and business leadership.

He started his career in 1998 in the cardiac ultrasound diagnostic imaging industry, mainly focused on advanced image analysis and quantification technologies at HP Medical, and at Philips Healthcare global headquarters in Andover, MA (US).

Mario joined GE in 2003, and since then has held various international leadership roles at global and European level, including Europe General Manager for Vscan, EMEA Business/Product Manager for Compact Echocardiography, Global Director of Product Management, etc. More recently, in his prior role as Global General Manager for GE Healthcare Education Services, he built a global team and strategy to transform and digitize GE Healthcare’s customer education solutions, developing new digital platforms and innovative data-driven analytics for equipment utilization and outcomes optimization.

He holds an advanced degree in Theoretical Physics from Universidad Autonoma in Madrid (Spain), a certificate in Strategic Management from Harvard University in Cambridge, MA (US), and a recent specialization in Deep Learning for A.I. from Dr. Andrew Ng’s

Agenda Sessions

  • Is Using AI as an Early Detection Method and as a Preventative Medicine Realistic?