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生物医学成像中的人工智能软件:对放射学和对比增强超声波应用的制药视角

Giovanni Valbusa¹, Alberto Fringuello Mingo², Sonia Colombo Serra²

¹Bracco Imaging SpA, Milano, Italy. giovanni.valbusa@bracco.com.

Clinical and experimental rheumatology

|May 8, 2025

概括

人工智能 (AI) 通过优化对比剂的使用以获得更好的诊断准确性来增强医学成像. 虽然在放射学中采用人工智能面临障碍,但其集成有望提高图像质量和效率.

科学领域:

放射学和医学成像学医学成像学
医疗保健中的人工智能
医疗器械技术医疗器械技术

背景情况:

人工智能 (AI) 在放射学中越来越多地被采用,欧盟和美国对各种成像方式的许多监管批准.
尽管增长和投资迅速,但广泛的AI实施面临着挑战,包括监管问题,整合复杂性和报销问题.
对比剂对于在多种临床应用中增强图像灵敏度和特异性至关重要.

研究的目的:

探索人工智能 (AI) 对放射学领域的变革性影响.
检查AI和医学成像中的对比剂的协同潜力.
识别当前的障碍和人工智能在放射实践中整合的未来前景.

主要方法:

审查目前的AI应用和放射学 (X射线,CT,MRI,超声波) 的监管状况.
分析与AI结合对比剂的作用和优化潜力.
评估影响人工智能采用的临床,经济和监管因素.

主要成果:

欧盟的200多个CE标记AI产品和美国的750多个FDA授权的AI设备突出显示了AI的快速发展.
人工智能展示了优化对比剂使用的潜力,降低剂量,同时提高图像质量.
人工智能和对比介质之间的协同作用可以提高图像清晰度和诊断准确度.

结论:

在放射学中,人工智能与对比介质的整合为提高图像质量,诊断准确性和操作效率提供了重大前景.
解决临床,经济和监管方面的挑战对于人工智能在医学成像中的更广泛应用至关重要.
人工智能将在放射学和医学诊断的未来发挥重要作用.

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