Densitas Inc.
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. ๐๐ฒ๐๐๐ฒ๐ฟ, ๐๐ฎ๐๐๐ฒ๐ฟ, ๐ฆ๐บ๐ฎ๐ฟ๐๐ฒ๐ฟ ๐๐๐ถ๐ฑ๐ฒ๐ป๐ฐ๐ฒ-๐๐ฎ๐๐ฒ๐ฑ ๐๐ฎ๐ฟ๐ฒ ๐๐ฅ๐ฉ๐๐ข๐๐ฏ๐ ๐๐๐๐๐ง๐ง๐๐ก๐จ Quickly identify higher-risk women who may benefit from supplemental imaging with automated breast density and breast cancer risk assessments. ๐พ๐ก๐๐ฃ๐๐๐๐ก ๐๐ฃ๐ ๐๐ฅ๐๐ง๐๐ฉ๐๐ค๐ฃ๐๐ก ๐ฟ๐๐๐๐จ๐๐ค๐ฃ ๐๐ช๐ฅ๐ฅ๐ค๐ง๐ฉ Advanced analytics enable benchmarking, monitoring, and trend-detection with on-demand report generation to facilitate simple performance tracking on an individual and organizational level. ๐๐๐๐ผ ๐๐๐๐๐ ๐๐ฃ๐ ๐ผ๐พ๐ ๐พ๐ค๐ข๐ฅ๐ก๐๐๐ฃ๐๐ Simplify FDA MQSA EQUIP compliance and ACR Accreditation processes with automated reporting and extensive study filtering and sorting capabilities. ๐๐ฃ๐๐ค๐ง๐ข๐๐ฉ๐๐ค๐ฃ ๐๐ฉ ๐๐ค๐๐ฃ๐ฉ-๐ค๐-๐พ๐๐ง๐ 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. ๐๐ค๐จ๐๐ฉ๐๐ค๐ฃ๐๐ฃ๐ ๐๐ง๐ค๐๐๐๐๐๐ฃ๐๐ฎ 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.
Employees
11-50