書誌事項
- 公開日
- 2019-03-25
- 資源種別
- journal article
- 権利情報
-
- http://www.springer.com/tdm
- DOI
-
- 10.1007/s11604-019-00833-3
- 公開者
- Springer Science and Business Media LLC
この論文をさがす
説明
There is a growing notion that artificial general intelligence (AGI) will replace some of the work done by trained professionals, including physicians. This idea, however, seems to have logical leap; herein, we discuss three problems that are significant barriers to this. First, the ground truth is difficult to provide in the majority of medical conditions. Second, the electronic medical record (EMR) only covers a portion of the information that is crucial for patient care. This makes the data in the EMR a suboptimum material for creation of AGI. Third, there are decision-making processes that cannot be captured in a way that computers can digest; portions of our thoughts, perceptions, intuitions, and inspirations cannot be translated into numbers or words.
収録刊行物
-
- Japanese Journal of Radiology
-
Japanese Journal of Radiology 37 (5), 351-353, 2019-03-25
Springer Science and Business Media LLC
