Publications by authors named "Jonah Kan"

Limited access to breast cancer diagnosis globally leads to delayed treatment. Ultrasound, an effective yet underutilized method, requires specialized training for sonographers, which hinders its widespread use. Volume sweep imaging (VSI) is an innovative approach that enables untrained operators to capture high-quality ultrasound images.

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Breast ultrasound provides a first-line evaluation for breast masses, but the majority of the world lacks access to any form of diagnostic imaging. In this pilot study, we assessed the combination of artificial intelligence (Samsung S-Detect for Breast) with volume sweep imaging (VSI) ultrasound scans to evaluate the possibility of inexpensive, fully automated breast ultrasound acquisition and preliminary interpretation without an experienced sonographer or radiologist. This study was conducted using examinations from a curated data set from a previously published clinical study of breast VSI.

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Background: Respiratory illness is a leading cause of morbidity in adults and the number one cause of mortality in children, yet billions of people lack access to medical imaging to assist in its diagnosis. Although ultrasound is highly sensitive and specific for respiratory illness such as pneumonia, its deployment is limited by a lack of sonographers. As a solution, we tested a standardised lung ultrasound volume sweep imaging (VSI) protocol based solely on external body landmarks performed by individuals without prior ultrasound experience after brief training.

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Article Synopsis
  • Hepatic and biliary diseases are common globally, but many lack access to diagnostic imaging; this study explored using asynchronous telediagnostic ultrasound in rural areas by untrained individuals to increase accessibility.
  • The teleultrasound system used a tablet app and volume sweep imaging to allow non-experts to perform ultrasound scans, which were later interpreted remotely by experienced radiologists in the U.S.
  • Results showed that while 36.8% of scans had poor quality, 95% agreement was found between remote and standard radiologist assessments in identifying whether scans were normal or abnormal for those deemed acceptable or excellent quality.
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Background: Ninety-four percent of all maternal deaths occur in low- and middle-income countries, and the majority are preventable. Access to quality Obstetric ultrasound can identify some complications leading to maternal and neonatal/perinatal mortality or morbidity and may allow timely referral to higher-resource centers. However, there are significant global inequalities in access to imaging and many challenges to deploying ultrasound to rural areas.

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