Retina Division, Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Curr Opin Ophthalmol. 2020 Sep;31(5):324-328. doi: 10.1097/ICU.0000000000000694.
To review four recent controversial topics arising from deep learning applications in ophthalmology.
The controversies of four recent topics surrounding deep learning applications in ophthalmology are discussed, including the following: lack of explainability, limited generalizability, potential biases and protection of patient confidentiality in large-scale data transfer.
These controversial issues spanning the domains of clinical medicine, public health, computer science, ethics and legal issues, are complex and likely will benefit from an interdisciplinary approach if artificial intelligence in ophthalmology is to succeed over the next decade.
综述近年来深度学习在眼科应用中引发的四个有争议的话题。
讨论了近年来围绕深度学习在眼科应用的四个有争议的话题，包括：缺乏可解释性、可推广性有限、潜在偏差以及在大规模数据传输中保护患者隐私。
这些跨越临床医学、公共卫生、计算机科学、伦理和法律问题领域的争议性问题非常复杂，如果人工智能在未来十年内要在眼科领域取得成功，可能需要跨学科的方法来解决。
