The day when computers read between lines

Kei Yamada, Susumu Mori

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish (US)
Pages (from-to)351-353
Number of pages3
JournalJapanese journal of radiology
Volume37
Issue number5
DOIs
StatePublished - May 20 2019

Keywords

  • Artificial general intelligence
  • Artificial intelligence
  • Computer-aided diagnosis
  • Electronic medical record
  • MRI

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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