Evidence map›Paper›PMID 42393584›Full record

ArticleBMC medical imaging2026

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'Neal, Harish Gudi, Mahesh Chandrasekhar, Christopher Schumann, Autumn Birch, Sarah Mullen, Nicholas Ng, Michael Morris

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC medical imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Wesley T O'NealCone Health Heart & Vascular Center, 1220 Magnolia St, Greensboro, NC, 27401, USA. wesley.oneal@conehealth.com.
Harish GudiBanner University Medical Center Tucson, Tucson, AZ, USA.
Mahesh ChandrasekharCone Health Heart & Vascular Center, 1220 Magnolia St, Greensboro, NC, 27401, USA.
Christopher SchumannCone Health Heart & Vascular Center, 1220 Magnolia St, Greensboro, NC, 27401, USA.
Autumn BirchHeartflow, Mountain View, CA, USA.
Sarah MullenHeartflow, Mountain View, CA, USA.
Nicholas NgHeartflow, Mountain View, CA, USA.
Michael MorrisBanner Health, Phoenix, AZ, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis 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 (FFR

methodsEighty CCTAs from patients with stable chest pain or symptoms suggestive of coronary artery disease (CAD) were analyzed by five independent readers from two clinical sites. CCTA datasets were used to generate combined reports for AI-CSQ, AI-CPA, and FFR

resultsReporting time per case was 40.2% shorter with versus without the SR tool (6.0 ± 2.0 vs. 10.0 ± 3.3 min; p < 0.001), independent of CAD-RADS 2.0 category. Readers were more likely to report very confident reads with the SR tool than without (48% vs. 29%; p < 0.001). Cognitive load also was significantly lower with the SR tool than without (3.8 ± 1.2 vs. 6.1 ± 1.5; p < 0.001). Report agreement was significantly higher with versus without the SR tool (94.6%±2.3% vs. 45.3%±9.2%; p < 0.001).

conclusionThe SR tool significantly improved reader efficiency and decreased work effort when interpreting comprehensive CCTA exams.

Indexed as

Artificial IntelligenceComputed Tomography AngiographyCoronary AngiographyCoronary Artery DiseaseCoronary StenosisAgedFemaleFractional Flow Reserve, MyocardialHumansMaleMiddle AgedPlaque, AtheroscleroticAI-enabled coronary plaque analysis (AI-CPA)Coronary computed tomography angiography (CCTA)Coronary stenosisFractional flow reserve CT (FFRCT)

Identifiers

PMID42393584
PMCPMC13628870

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.