避免在放射学AI中错过机会
Jonathan Scheiner1, Leonard Berliner2
1Department of Radiology, Staten Island University Hospital - Northwell Health, 475 Seaview Avenue, Staten Island, NY, 10305, USA.
International journal of computer assisted radiology and surgery
|November 25, 2024
概括
放射学中的人工智能 (AI) 提高了诊断准确度,并优先考虑肺栓塞等危急病例. 人工智能驱动的偶然发现的检测,如脑动脉瘤,可以改善患者的护理,并产生收入,支持人工智能的实施.
科学领域:
- 医疗成像中的人工智能 (AI)
- 深度学习在放射学中的应用.
- 医疗保健信息学和人工智能
背景情况:
- 人工智能 (AI) 的复兴,特别是深度学习,导致了许多医学应用,特别是在放射学中.
- 对人工智能的临床和非临床应用的全面了解对于最大限度地提高医疗保健的好处和降低医疗保健风险至关重要.
- 本综述探讨了AI在临床放射学环境中的实际应用,以确定具有重大临床和财务价值的领域.
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