Mo Abdolell

Mo Abdolell has a diverse work experience. Mo served as the CEO of Densitas Inc. starting in August 2013. Prior to that, they worked as a Professor in Diagnostic Radiology at Dalhousie University, starting in July 2005. Before that, they worked as a Biostatistician at the Hospital for Sick Children from 2000 to 2003, and at Princess Margaret Hospital from 1999 to 2000.

Mo Abdolell obtained a Master of Science degree in Biostatistics from the University of Toronto, where they studied from 1990 to 1994. Prior to that, they attended Jarvis Collegiate Institute from 1980 to 1985, but did not earn a degree or specialize in any particular field of study. In 2009, Mo Abdolell obtained a certification as a Professional Statistician from the Statistical Society of Canada.

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Densitas Inc.

At Densitasยฎ we provide artificial intelligence solutions for breast cancer screening, focused on quality, safety, efficiency, and precision breast health. Our solutions present clinical care teams with on-demand actionable information and digitized workflows to systematically improve mammography quality, organizational and workflow efficiencies, and evidence-based decision making. ๐—•๐—ฒ๐˜๐˜๐—ฒ๐—ฟ, ๐—™๐—ฎ๐˜€๐˜๐—ฒ๐—ฟ, ๐—ฆ๐—บ๐—ฎ๐—ฟ๐˜๐—ฒ๐—ฟ ๐—˜๐˜ƒ๐—ถ๐—ฑ๐—ฒ๐—ป๐—ฐ๐—ฒ-๐—•๐—ฎ๐˜€๐—ฒ๐—ฑ ๐—–๐—ฎ๐—ฟ๐—ฒ ๐™Š๐™ฅ๐™ฉ๐™ž๐™ข๐™ž๐™ฏ๐™š ๐™๐™š๐™›๐™š๐™ง๐™ง๐™–๐™ก๐™จ Quickly identify higher-risk women who may benefit from supplemental imaging with automated breast density and breast cancer risk assessments. ๐˜พ๐™ก๐™ž๐™ฃ๐™ž๐™˜๐™–๐™ก ๐™–๐™ฃ๐™™ ๐™Š๐™ฅ๐™š๐™ง๐™–๐™ฉ๐™ž๐™ค๐™ฃ๐™–๐™ก ๐˜ฟ๐™š๐™˜๐™ž๐™จ๐™ž๐™ค๐™ฃ ๐™Ž๐™ช๐™ฅ๐™ฅ๐™ค๐™ง๐™ฉ Advanced analytics enable benchmarking, monitoring, and trend-detection with on-demand report generation to facilitate simple performance tracking on an individual and organizational level. ๐™ˆ๐™Œ๐™Ž๐˜ผ ๐™€๐™Œ๐™๐™„๐™‹ ๐™–๐™ฃ๐™™ ๐˜ผ๐˜พ๐™ ๐˜พ๐™ค๐™ข๐™ฅ๐™ก๐™ž๐™–๐™ฃ๐™˜๐™š Simplify FDA MQSA EQUIP compliance and ACR Accreditation processes with automated reporting and extensive study filtering and sorting capabilities. ๐™„๐™ฃ๐™›๐™ค๐™ง๐™ข๐™–๐™ฉ๐™ž๐™ค๐™ฃ ๐™–๐™ฉ ๐™‹๐™ค๐™ž๐™ฃ๐™ฉ-๐™ค๐™›-๐˜พ๐™–๐™ง๐™š Point-of-care quality feedback for technologists to significantly reduce technical recalls, while automated breast density and breast cancer risk assessments provide reliably reproducible results that improve clinical confidence. ๐™‹๐™ค๐™จ๐™ž๐™ฉ๐™ž๐™ค๐™ฃ๐™ž๐™ฃ๐™œ ๐™‹๐™ง๐™ค๐™›๐™ž๐™˜๐™ž๐™š๐™ฃ๐™˜๐™ฎ Identify strengths and weaknesses in technologists' positioning techniques using advanced analytics and support continuous improvement with Mammography Educators' training materials embedded at point-of-care and on-demand.


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11-50

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