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Cardiac imaging studies encompass a wide range of noninvasive and minimally invasive techniques designed to visualize the heart's structure and function in detail. One such technique is echocardiography, which uses high-frequency ultrasound waves to produce detailed images of the heart, known as echocardiograms.
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Cardiothoracic ratio measurement using artificial intelligence: observer and method validation studies.

Pairash Saiviroonporn¹, Kanchanaporn Rodbangyang², Trongtum Tongdee²

¹Department of Radiology, Faculty of Medicine Siriraj Hospital, Mahidol University, 2 Wanglang Road, Bangkoknoi, Bangkok, 10700, Thailand. pairash.sai@gmail.ac.th.

BMC Medical Imaging

|June 8, 2021

Summary

This summary is machine-generated.

Artificial intelligence (AI) shows promise for cardiothoracic ratio (CTR) measurement, but AI alone is not yet reliable. AI assistance significantly reduces observer variation and operation time in CTR measurements, improving radiologist workflow.

Failed At:

2026-06-19T13:39:02.603653+00:00

Keywords:

AI Cardiothoracic ratio Clinical validation Deep learning Observer variation

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