Intelligent Machine Calibrates and Corrects Clinical Breast Exams

Although a common presenting symptom of breast cancer is a lump, untrained practitioners are not likely to confirm its presence without essential skills.


Intelligent Machine Calibrates and Corrects Clinical Breast Exams

To our knowledge this is the first transformation of a clinical skill into a live digital stream that measures, corrects and validates competence.

Millions of physical examinations of the breast (CBEs) are performed on women each year to confirm or dispel the presence of a self-reported tumor. Until now it was impossible to measure the accuracy and calibrate the skills of this commonly performed exam. Development of an intelligent, highly sensitive sensory technology that converts the exam into a digital data stream enables providers to measure, analyze and correct performance.

The portable, hands-on teacher plugs into any computer that connects to the internet, calculates practitioners’ true and false positive detections, missed tumors and exam thoroughness. It reports their progress in real time and continues practice until built-in standards are met.

More than a decade of research and technology development was supported by NCI, NSF, Capgemini, Qlik, and Women Veteran Health Program. It is now training and verifying the breast exam skills of nurses physicians midwives and breast radiologic technicians.

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