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.
Although a common presenting symptom of breast cancer is a lump, untrained practitioners are not likely to confirm its presence without essential skills.
Breast cancer screening can be improved in the US and worldwide by training the hands of women and their... read more
Dear President Carter, ... read more
Polly Sacco Ezzell, BSN, RN, OCN offers gold-standard breast self-exam (BSE) instruction at Mercy Suburban Hospital’s Breast Center. Her... read more
GAINESVILLE, Fla., Jan 17 , 2023 -- The earliest and most frequent sign of breast cancer is a lump... read more
National Science Foundation grant establishes Clinical Breast Exam Competency Network April 7, 2015 - GAINESVILLE, Fla. -- Breast exams are... read more
Women self-detect breast cancer with their hands, cancer that was missed by mammograms according to women and research. At... read more
The epidemic of breast cancer became a death sentence for many women in Uganda according to a series of... read more
Sheila Hermesmeyer, oncology nurse and MammaCare BSE Instructor, has many roles at Blessing Breast Center, where she has worked... read more
GAINESVILLE, Fla., Oct. 15, 2020 -- More than 600,000 women die of advanced breast cancer annually. (1) There is a safe, universally obtainable method to reduce... read more
When education and opportunity intersect, young people often take their skills to big cities where access to modern technology... read more
Early detection of breast cancer is in the hands of clinicians and women. MammaCare, a Clinical Breast exam research company... read more
Dianne Feinstein is memorialized in the US Congressional Record recognizing that the hands of women and clinicians are the... read more
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.