Share:
Peer-Reviewed Publication
J Med Econ2024;27(1):972-981.January 1, 2024Journal Article

U.S. payer budget impact of using an AI-augmented cancer risk discrimination digital histopathology platform to identify high-risk of recurrence in women with early-stage invasive breast cancer.

Salwa F Masud1, Noah Mark1, Thomas Goss1, Doug Malinowski2, Stuart J Schnitt3, Joseph A Sparano4, Michael J Donovan2
1Veranex, Raleigh, NC, USA.
2PreciseDx, New York, NY, USA.
3Brigham and Women's Hospital, Dana-Farber/Brigham and Women's Cancer Center, Boston, MA, USA.
4Division of Hematology and Medical Oncology, Ichan School of Medicine, Mount Sinai Health System, New York, NY, USA.

Abstract

AIMS: Use of gene expression signatures to predict adjuvant chemotherapy benefit in women with early-stage breast cancer is increasing. However, high cost, limited access, and eligibility for these tests results in the adoption of less precise assessment approaches. This study evaluates the cost impact of PreciseDx Breast (PDxBr), an AI-augmented histopathology platform that assesses the 6-year ri…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.