Cardiac Imaging and Diagnostics · Journal article
Frontiers in Cardiovascular Medicine · July 21, 2026
Early or partial results. Treat as a signal, not a conclusion.
This pilot study reports that cardisiography (CSG), an AI-enhanced vectorcardiography technique, achieved 96.5% sensitivity (28/29) for detecting coronary lesions classified as CAD-RADS 1-3, substantially higher than the 6.9% sensitivity (2/29) of resting ECG, when CCTA served as the reference standard. The findings are preliminary and limited to a single-center referral cohort; the authors themselves acknowledge the need for larger multicenter studies to validate clinical utility and determine whether CSG can be used as a triage tool before advanced imaging or cardiology referral.
Single-center, prospective, double-blinded pilot study. Patients aged 40 and above with suspected coronary artery disease referred for coronary computerized tomography angiography.. Intervention: Cardisiography (CSG), an artificial intelligence-enhanced vectorcardiography technique. Compared with: Resting electrocardiogram (ECG) and coronary computerized tomography angiography (CCTA as reference standard). n = 104.
CSG sensitivity 96.5% (28/29) for CAD-RADS 1-3 lesions vs ECG 6.9% (2/29) CSG sensitivity 100% for CAD-RADS 1 lesions (n=12) and CAD-RADS 3 (n=6), 91% for CAD-RADS 2 (n=11) CCTA identified coronary lesions in 29 of 104 enrolled patients (12 CAD-RADS 1, 11 CAD-RADS 2, 6 CAD-RADS 3)
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Clinicians should recognize these findings as encouraging but preliminary evidence that CSG may improve detection of coronary plaque compared to standard resting ECG in a high-risk referral population. However, the small single-center sample and lack of external validation mean CSG cannot yet be recommended for routine triage without larger multicenter studies; the role as a pre-CCTA screening tool remains investigational.
Single-center pilot study with small sample of 29 CAD cases shows substantially higher CSG sensitivity than ECG, but lacks independent validation cohort, multicenter design, and prospective comparison against standard clinical decision pathways needed for practice-changing evidence.
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Clinicians should recognize these findings as encouraging but preliminary evidence that CSG may improve detection of coronary plaque compared to standard resting ECG in a high-risk referral population. However, the small single-center sample and lack of external validation mean CSG cannot yet be recommended for routine triage without larger multicenter studies; the role as a pre-CCTA screening tool remains investigational.
Graded across the dimensions that decide whether you should act, each from what the source actually supports. There is no single score, and where a dimension was not assessed it says so.
Background: Early and accurate detection of coronary artery disease (CAD) remains a challenge in primary care, particularly in low- and middle-income countries where access to advanced diagnostic imaging is limited. A resting electrocardiogram (ECG) is widely available but has low sensitivity for detecting ischemia. Cardisiography (CSG), an artificial intelligence-enhanced vectorcardiography technique, offers a promising non-invasive alternative. Methods: This single-center, prospective, double-blinded pilot study enrolled 104 patients aged 40 and above with suspected CAD referred for coronary computerized tomography angiography (CCTA). All participants underwent ECG, CSG, and CCTA as the reference standard. Diagnostic accuracy was assessed using the CAD-RADS classification. Results: CCTA identified coronary lesions classified as CAD-RADS 1-3 in 29 patients (12, 11, and 6, respectively). CSG achieved an overall sensitivity of 96.5% (28/29), compared with 6.9% (2/29) for ECG. Sensitivity was 100% for CAD-RADS 1 and 3, and 91% for CAD-RADS 2. Diagnostic accuracy metrics are reported with 95% confidence intervals. Conclusion: In this pilot referral cohort, CSG demonstrated higher sensitivity than resting ECG for detecting coronary plaque. These preliminary findings suggest CSG may serve as a triage tool before CCTA or cardiology referral. Larger, multicenter studies are needed to validate its role and determine clinical utility. Clinical Trial Registration: https://conabios.gob.do/reglamento, identifier 034-2023.
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