Edwards Christopher, Chamunyonga Crispen, Searle Benjamin, Reddan Tristan
School of Clinical Sciences, Faculty of Health, Queensland University of Technology, Brisbane, QLD, Australia.
Centre for Biomedical Technologies, Queensland University of Technology, Brisbane, QLD, Australia.
Ultrasound. 2022 Nov;30(4):273-282. doi: 10.1177/1742271X211072473. Epub 2022 Jan 21.
The integration of artificial intelligence (AI) technology within the health industry is increasing. This educational piece discusses the implementation of AI and its impact on sonography. The authors investigate how AI may influence the profession and provide examples of how ultrasound imaging may be enhanced and innovated by integrating AI technology. This article highlights challenges related to the application of AI and provides insight into how they could be addressed. The critical distinction between the role of a sonographer and the reporting specialist in the context of AI is highlighted as a key issue for those developing, researching, and evaluating AI systems. A key recommendation is for the sonography community to address ultrasound education, particularly how AI knowledge could be incorporated into university education. This is an important consideration that should be extended to practising professionals as they may be involved in evaluating the efficiency and methodologies used in new research that may incorporate AI technologies.
人工智能(AI)技术在医疗行业的整合正在不断增加。这篇教育文章讨论了人工智能的应用及其对超声检查的影响。作者研究了人工智能如何影响该专业,并提供了通过整合人工智能技术增强和创新超声成像的示例。本文强调了与人工智能应用相关的挑战,并深入探讨了如何应对这些挑战。在人工智能背景下,超声检查医师和报告专家角色的关键区别被突出强调,这是开发、研究和评估人工智能系统的人员面临的一个关键问题。一项关键建议是,超声检查领域应重视超声教育,特别是如何将人工智能知识纳入大学教育。这是一个重要的考虑因素,也应推广到执业专业人员,因为他们可能参与评估可能采用人工智能技术的新研究的效率和方法。