A study to measure the utility of an AI-enhanced reporting tool in assisting busy CCTA readers with REPORT generation (SMART-REPORT).

Wesley T O'Neal¹, Harish Gudi², Mahesh Chandrasekhar³, Christopher Schumann³, Autumn Birch⁴, Sarah Mullen⁴, Nicholas Ng⁴, Michael Morris⁵

¹Cone Health Heart & Vascular Center, 1220 Magnolia St, Greensboro, NC, 27401, USA. wesley.oneal@conehealth.com.

²Banner University Medical Center Tucson, Tucson, AZ, USA.

³Cone Health Heart & Vascular Center, 1220 Magnolia St, Greensboro, NC, 27401, USA.

⁴Heartflow, Mountain View, CA, USA.

⁵Banner Health, Phoenix, AZ, USA.

PubMed DOI

Abstract

PURPOSE: This study aimed to determine if an integrated structured reporting (SR) tool incorporating results from artificial intelligence (AI) enabled coronary stenosis quantification (AI-CSQ), AI-enabled coronary plaque analysis (AI-CPA), and fractional flow reserve CT (FFRCT) can increase reader efficiency for coronary computed tomography angiography (CCTA), while reducing cognitive load. METHO…

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