Brandon Hirsch, MS, R.T.(R)(CT)(T), CMD, is assistant professor of radiologic science for Southern Illinois University in Carbondale.
Radiol Technol. 2021 Jul;92(6):577-592.
Artificial intelligence (AI) is a rapidly growing profession that shows continued promise for diagnostic imaging in various disciplines, including dermatology and pathology. The benefits of AI, however, extend beyond the imaging department as radiation oncology departments begin to automate labor-intensive treatment planning processes. Given the increase in interest and research concerning AI, radiologic technologists must become familiar with AI terminology, current and potential applications, challenges, and patient perspectives.
人工智能（AI）是一个快速发展的职业，在包括皮肤科和病理学在内的各个学科的诊断成像中显示出持续的前景。然而，人工智能的好处不仅限于影像科，因为放射肿瘤科开始自动化劳动密集型的治疗计划过程。鉴于人们对人工智能的兴趣和研究不断增加，放射技师必须熟悉人工智能术语、当前和潜在的应用、挑战和患者视角。
