PUNCH: Physics-informed uncertainty-aware network for coronary hemodynamics.

Sukirt Thakur¹, Marcus Roper², Yang Zhou³, Dmitry Yu Isaev³, Reza Akbarian Bafghi⁴, Brahmajee K Nallamothu⁵, C Alberto Figueroa⁶, Srinivas Paruchuri³, Scott Burger³, Carlos Collet⁷, Maziar Raissi⁸

¹AngioInsight, Inc., USA. Electronic address: sukirt@angioinsight.com.

²Department of Mathematics, University of California, Los Angeles, Los Angeles, CA, 90095, USA.

³AngioInsight, Inc., USA.

⁴University of Colorado Boulder, Boulder, CO, 80309, USA.

⁵Department of Internal Medicine, University of Michigan, Ann Arbor, MI, 48109, USA.

⁶Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA; Department of Surgery, University of Michigan, Ann Arbor, MI, 48109, USA.

⁷Clinical Trial Center, Cardiovascular Research Foundation, New York, NY, USA.

⁸University of California, Riverside, Riverside, CA, 92521, USA.

PubMed DOI

Abstract

More than 10 million coronary angiograms are performed globally each year, providing a gold standard for detecting obstructive coronary artery disease. Yet, no obstructive lesions are identified in 70% of patients evaluated for ischemic heart disease. Up to half of these patients have undiagnosed, life-limiting coronary microvascular dysfunction (CMD), which remains under-detected due to the limit…

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.

Create Free Account Sign In

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.