News & Research

Clairity’s approach is grounded in decades of work focused on the early identification of cancer. Review recent examples of research and news regarding Clairity and Clairity founder Dr. Connie Lehman, MD, PhD, related to computer aided diagnosis, deep learning, artificial intelligence, density assessment, predictive risk models, effective imaging workflow and risk-based triage.

News

Clairity Appoints Jeffrey R. Luber CEO as Firm Prepares for Global Expansion

Clairity, Inc., a pioneer in AI-based predictive tools for breast cancer, is pleased to announce the appointment of Jeffrey R. Luber, JD, MBA, as President, Chief Executive Officer and Director. Luber, an award-winning healthcare leader with extensive experience across oncology, genetic sequencing, infectious disease testing and digital health, will guide Clairity through market launch and global expansion.

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News

Machine Learning in Cancer Diagnostics

ML is having a huge impact in cancer diagnostics, specifically on the development of novel computational tools for stratification, grading, and prognostication of patients with the goal of improving patient care.

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Research

Hidden in Plain Sight — Reconsidering the Use of Race Correction in Clinical Algorithms

Physicians still lack consensus on the meaning of race. When the Journal took up the topic in 2003 with a debate about the role of race in medicine, one side argued that racial and ethnic categories reflected underlying population genetics and could be clinically useful. Others held that any small benefit was outweighed by potential harms that arose from the long, rotten history of racism in medicine.

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