Pilot Study Assesses AI-Guided Cardiac Ultrasound - Report - MDSpire

Pilot Study Assesses AI-Guided Cardiac Ultrasound

Researchers examined image acquisition, interpretation agreement, and clinical management decisions among advanced practice providers.

  • By

  • Kathryn Wighton

  • June 26, 2026

  • 3 min

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Pilot Study Assesses AI-Guided Cardiac Ultrasound

Overview

The AISAP-INOVA pilot study found that AI-guided cardiac ultrasound performed by advanced practice providers showed high agreement with cardiologist reviews and fewer corrections compared to non-AI-guided examinations. The study included 100 examinations.

Background

The integration of artificial intelligence (AI) in cardiac point-of-care ultrasound (POCUS) is significant as it enhances diagnostic capabilities in clinical settings. This study contributes to the evidence regarding AI's role in ultrasound diagnostics.

Data Highlights

Examination TypeCardiologist CorrectionsScan Duration (minutes)
AI-guided27%13.7
Non-AI-guided47%16.9

Key Findings

  • Cardiologists agreed with advanced practice provider interpretations on major findings in over 96% of examinations.
  • AI-guided examinations had fewer cardiologist corrections (27%) compared to non-AI-guided examinations (47%).
  • AI guidance was associated with improved acquisition completeness.
  • Scan duration was shorter with AI guidance (13.7 minutes) compared to without (16.9 minutes).
  • Point-of-care ultrasound findings led to management changes in 57% of patients.
  • 56% of patients were discharged without needing inpatient transthoracic echocardiography.

Clinical Implications

The findings indicate that AI-guided cardiac ultrasound can enhance the diagnostic accuracy of advanced practice providers.

Conclusion

AI-guided cardiac point-of-care ultrasound demonstrates high diagnostic agreement with cardiologist reviews.

Related Resources & Content

  1. Nguyen AH, et al., Journal of the American Society of Echocardiography, 2026 -- Pilot Study Assesses AI-Guided Cardiac Ultrasound
  2. Journal of Medical Internet Research (JMIR) — Alignment Between Cardiologists and AI-Driven Diagnostic Systems: Mixed Methods Study
  3. npj Digital Medicine — Artificial intelligence-enabled analysis of handheld single-lead electrocardiograms to predict incident atrial fibrillation: an analysis of the VITAL-AF randomized trial
  4. Surgical Endoscopy — Current Status of AI-Enhanced Ultrasound Imaging in Hepatopancreatobiliary Surgical Procedures
  5. European Radiology — AI-Driven Coronary Calcium Scoring from Retrospective CT Data in SCAPIS Demonstrates High Accuracy and Correlation with Expert Evaluations
  6. Recommendations for Cardiac Point-of-Care Ultrasound Nomenclature
  7. Guidelines for the Standardization of Adult Echocardiography Reporting
  8. IAC Standards and Guidelines for Adult Echocardiography Accreditation
  9. Fully automated artificial intelligence–based echocardiographic analysis substantially reduces workflow time while preserving measurement accuracy: a pilot study | Journal of Cardiovascular Imaging | Springer Nature Link
  10. Smarter FoCUS: AI-guided focused cardiac ultrasound enables novice detection of left ventricular dysfunction | European Heart Journal - Digital Health | Oxford Academic
  11. Artificial Intelligence–Assisted Point-of-Care Ultrasound for Evaluating Left Ventricular Ejection Fraction: A Systematic Review of Prospective Observational Studies - ScienceDirect
  12. Artificial Intelligence Empowers Novice Users to Acquire Diagnostic-Quality Echocardiography | JACC: Advances
  13. Artificial intelligence-enhanced echocardiography in cardiovascular disease management | Nature Reviews Cardiology

Original Source(s)

Pilot Study Assesses AI-Guided Cardiac Ultrasound

  • by Kathryn Wighton

  • June 26, 2026

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