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- W3154203438 endingPage "109717" @default.
- W3154203438 startingPage "109717" @default.
- W3154203438 abstract "<h2>Abstract</h2> Ultrasound (US), a flexible green imaging modality, is expanding globally as a first-line imaging technique in various clinical fields following with the continual emergence of advanced ultrasonic technologies and the well-established US-based digital health system. Actually, in US practice, qualified physicians should manually collect and visually evaluate images for the detection, identification and monitoring of diseases. The diagnostic performance is inevitably reduced due to the intrinsic property of high operator-dependence from US. In contrast, artificial intelligence (AI) excels at automatically recognizing complex patterns and providing quantitative assessment for imaging data, showing high potential to assist physicians in acquiring more accurate and reproducible results. In this article, we will provide a general understanding of AI, machine learning (ML) and deep learning (DL) technologies; We then review the rapidly growing applications of AI-especially DL technology in the field of US-based on the following anatomical regions: thyroid, breast, abdomen and pelvis, obstetrics heart and blood vessels, musculoskeletal system and other organs by covering image quality control, anatomy localization, object detection, lesion segmentation, and computer-aided diagnosis and prognosis evaluation; Finally, we offer our perspective on the challenges and opportunities for the clinical practice of biomedical AI systems in US." @default.
- W3154203438 created "2021-04-26" @default.
- W3154203438 creator A5011487190 @default.
- W3154203438 creator A5037744172 @default.
- W3154203438 creator A5037882275 @default.
- W3154203438 creator A5074864010 @default.
- W3154203438 date "2021-06-01" @default.
- W3154203438 modified "2023-10-02" @default.
- W3154203438 title "Artificial intelligence in ultrasound" @default.
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