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HKBU-NVIDIA Joint Symposium 2025

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Learning to Simplify Sonography during and after the Ultrasound Examination

DEPARTMENT:

Department of Computer Science

CONYTRIBUTOR / SPEAKER:

GUO, Xiaoqing

RELEASE DATE:

2025

LENGTH:

12 Minutes

VIDEO TYPE:

Scholarly Talks

Ultrasound imaging is widely used for its non-invasiveness, portability, and cost-effectiveness. However, mastering freehand ultrasound requires years of training, contributing to a global shortage of skilled sonographers and delays in medical diagnoses. AI offers a promising solution to bridge this expertise gap, improving ultrasound accessibility across diverse clinical and remote settings. In this talk, I will explore how AI can simplify sonography from two perspectives: during examinations, by providing real-time 3D spatial and language-guided assistance, and after examinations, by automatically summarizing key findings to enhance diagnostic efficiency, accuracy, and workflow.

Learning to Simplify Sonography during and after the Ultrasound Examination

部門:

計算機科學系

講者:

GUO, Xiaoqing

發佈日期:

2025

影片長度:

12 分鐘

影片類型:

學術論壇

Learning to Simplify Sonography during and after the Ultrasound Examination

部门:

计算机科学系

讲者:

GUO, Xiaoqing

发布日期:

2025

影片长度:

12 分钟

影片类型:

学术论坛

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