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January 1, 2026Journal of Breast CancerOpen Access

Artificial Intelligence-Based Exosome Analysis for Improving Diagnostic Performance of Breast Lesions on Ultrasound: Protocol of a Prospective, Multicenter Cohort Study

Sung Eun Song Hyunku Shin Yong Park Yeonho Choi Seung Pil Jung

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Key Points

To evaluate the effectiveness of AI-based exosome analysis in diagnosing breast lesions using ultrasound.
Prospective multicenter design
Included various clinical centers
Analysis of exosomes in breast lesions via ultrasound imaging
Assessing diagnostic performance metrics
Expected improvements in diagnostic accuracy
Potential reduction in false positives or negatives
Enhanced clarity in distinguishing benign from malignant lesions

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Implication

Multicenter cohort study investigates AI-enhanced exosome analysis for better breast lesion diagnosis, suggesting improved accuracy.

Abstract

ClinicalTrials.gov Identifier: NCT06672302. Registered on November 4, 2024.

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Cite This Study

Song et al. (2026) studied this question.

synapsesocial.com/papers/69cf5de95a333a821460be76 https://doi.org/10.4048/jbc.2025.0206

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