Department of Otorhinolaryngology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center Nijmegen, the Netherlands.
Department of Pathology, Radboud University Medical Center Nijmegen, the Netherlands.
Ear Hear. 2021;42(6):1499-1507. doi: 10.1097/AUD.0000000000001041.
The global digital transformation enables computational audiology for advanced clinical applications that can reduce the global burden of hearing loss. In this article, we describe emerging hearing-related artificial intelligence applications and argue for their potential to improve access, precision, and efficiency of hearing health care services. Also, we raise awareness of risks that must be addressed to enable a safe digital transformation in audiology. We envision a future where computational audiology is implemented via interoperable systems using shared data and where health care providers adopt expanded roles within a network of distributed expertise. This effort should take place in a health care system where privacy, responsibility of each stakeholder, and patients' safety and autonomy are all guarded by design.
全球数字化转型使计算听力学能够应用于先进的临床领域,从而减轻全球听力损失负担。本文描述了新兴的与听力相关的人工智能应用,并探讨了其在改善听力保健服务的可及性、精准度和效率方面的潜力。同时,我们也意识到,为了实现听力学的安全数字化转型,必须解决一些风险问题。我们设想,未来计算听力学将通过使用共享数据的互操作系统来实现,而医疗保健提供者则在分布式专业知识网络中扮演更广泛的角色。这一努力应在一个通过设计保护隐私、每个利益相关者的责任以及患者安全和自主权的医疗保健系统中进行。