Kapustin Pauline, Eidenbenz David, Darioli Vincent
Service de médecine interne, Centre hospitalier universitaire vaudois, 1011 Lausanne.
Service des urgences, Centre hospitalier universitaire vaudois, 1011 Lausanne.
Rev Med Suisse. 2024 Aug 21;20(883):1422-1425. doi: 10.53738/REVMED.2024.20.883.1422.
Artificial intelligence (AI) is a rapidly advancing technology in our society. The emergency radiology is an area facing an increase of the number of imaging studies and associated to the necessity to promptly deliver an accurate interpretation. The integration of AI algorithms to assist the clinician in providing analyses of the imaging studies while maintaining adequate diagnostic quality opens up new perspectives. There are numerous potential advantages of the implementation of AI in emergency radiology. However, the use of AI faces new challenges, as the algorithms reliability, data security, responsibility issues, and financial, human and material resources.
人工智能（AI）是我们社会中一项迅速发展的技术。急诊放射学领域面临着影像检查数量的增加，并且需要及时提供准确的解读。整合人工智能算法以协助临床医生对影像检查进行分析，同时保持足够的诊断质量，这开辟了新的前景。在急诊放射学中实施人工智能有许多潜在优势。然而，人工智能的使用面临着新的挑战，比如算法可靠性、数据安全、责任问题以及财务、人力和物力资源等方面的问题。
