Current Status, Prospect and Bottleneck of Ultrasound AI Development: A Systemic Review

Siyi Xun; Wei Ke; Mingfu Jiang; Huachao Chen; Haoming Chen; Chantong Lam; Ligang Cui; Tao Tan

doi:10.37015/AUDT.2023.230020

Current Status, Prospect and Bottleneck of Ultrasound AI Development: A Systemic Review

Siyi Xun, Wei Ke, Mingfu Jiang, Huachao Chen, Haoming Chen, Chantong Lam, Ligang Cui, Tao Tan

Faculty of Applied Sciences

Research output: Contribution to journal › Review article › peer-review

2 Citations (Scopus)

Abstract

In recent years, ultrasound imaging has become an important means of medical diagnosis because of its safety and radiation-free advantages. With the continuous progress of deep learning, Artificial Intelligence (AI) models can process large amounts of ultrasound data quickly and accurately, providing decision support for clinicians in diagnosis. From the perspective of ultrasound image classification, detection and segmentation, this paper systemically introduces the latest progress of AI technology in ultrasound imaging, and summarizes the recent high-level related work. At the same time, we also discuss the development prospect and bottleneck of AI in ultrasound imaging processing, which provides the future research directions for researchers in related fields.

Original language	English
Pages (from-to)	61-72
Number of pages	12
Journal	Advanced Ultrasound in Diagnosis and Therapy
Volume	7
Issue number	2
DOIs	https://doi.org/10.37015/AUDT.2023.230020
Publication status	Published - Jun 2023

Keywords

Artificial intelligence
Deep learning
Diagnosis
Ultrasound imaging

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10.37015/AUDT.2023.230020

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abstract = "In recent years, ultrasound imaging has become an important means of medical diagnosis because of its safety and radiation-free advantages. With the continuous progress of deep learning, Artificial Intelligence (AI) models can process large amounts of ultrasound data quickly and accurately, providing decision support for clinicians in diagnosis. From the perspective of ultrasound image classification, detection and segmentation, this paper systemically introduces the latest progress of AI technology in ultrasound imaging, and summarizes the recent high-level related work. At the same time, we also discuss the development prospect and bottleneck of AI in ultrasound imaging processing, which provides the future research directions for researchers in related fields.",

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T1 - Current Status, Prospect and Bottleneck of Ultrasound AI Development

T2 - A Systemic Review

AU - Xun, Siyi

AU - Ke, Wei

AU - Jiang, Mingfu

AU - Chen, Huachao

AU - Chen, Haoming

AU - Lam, Chantong

AU - Cui, Ligang

AU - Tan, Tao

PY - 2023/6

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N2 - In recent years, ultrasound imaging has become an important means of medical diagnosis because of its safety and radiation-free advantages. With the continuous progress of deep learning, Artificial Intelligence (AI) models can process large amounts of ultrasound data quickly and accurately, providing decision support for clinicians in diagnosis. From the perspective of ultrasound image classification, detection and segmentation, this paper systemically introduces the latest progress of AI technology in ultrasound imaging, and summarizes the recent high-level related work. At the same time, we also discuss the development prospect and bottleneck of AI in ultrasound imaging processing, which provides the future research directions for researchers in related fields.

AB - In recent years, ultrasound imaging has become an important means of medical diagnosis because of its safety and radiation-free advantages. With the continuous progress of deep learning, Artificial Intelligence (AI) models can process large amounts of ultrasound data quickly and accurately, providing decision support for clinicians in diagnosis. From the perspective of ultrasound image classification, detection and segmentation, this paper systemically introduces the latest progress of AI technology in ultrasound imaging, and summarizes the recent high-level related work. At the same time, we also discuss the development prospect and bottleneck of AI in ultrasound imaging processing, which provides the future research directions for researchers in related fields.

KW - Artificial intelligence

KW - Deep learning

KW - Diagnosis

KW - Ultrasound imaging

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JO - Advanced Ultrasound in Diagnosis and Therapy

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ER -

Current Status, Prospect and Bottleneck of Ultrasound AI Development: A Systemic Review

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