It is Not Time to Kick Out Radiologists

recent original article "When can we Kick (Some) Humans 'Out of the Loop'?An Examination of the Use of AI in Medical Imaging for Lumbar Spinal Stenosis", boldly challenged the prevailing notion on medical imaging artificial intelligence (AI).Currently, it is widely thought that AI is a support tool under human supervision, AI must not fully replace humans, and humans remain crucial to healthcare (Alowais et al. 2023).Instead, Muyskens et al. suggested that under certain conditions, some healthcare processes could be entirely AI-driven with no human involvement.They argued that Spine AI (Hallinan et al. 2021), which automates preoperative lumbar spine MRI measurements, is equivalent to human radiologists and can fully replace them with little harm (Muyskens et al. 2025).While we are not bioethics experts, we find this article ambitious and highly stimulating.However, as experts in both radiology and AI, we must raise one critical opposition.The authors have a serious misbelief that AI will soon be able to fully replace human radiologists, which potentially harms patients.

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Publication Details

Journal
Asian Bioethics Review
Published
2024-12-03
DOI
https://doi.org/10.1007/s41649-024-00325-1
Citations
1
Primary Topic
Radiology practices and education
Type
article
Field-Weighted Citation Impact
0.40

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article

It is Not Time to Kick Out Radiologists

Yosuke Yamagishi, Tomohiro Kikuchi, Osamu Abe, Soichiro Miki et al.
1 citations
Asian Bioethics Review
Radiology practices and education
0.40
article

It is Not Time to Kick Out Radiologists

Yosuke Yamagishi, Tomohiro Kikuchi, Osamu Abe, Soichiro Miki, T. Yoshikawa, Takahiro Nakao, Shouhei Hanaoka, Yuta Nakamura, Yuki Sonoda
article en
1 citations

Abstract

recent original article "When can we Kick (Some) Humans 'Out of the Loop'?An Examination of the Use of AI in Medical Imaging for Lumbar Spinal Stenosis", boldly challenged the prevailing notion on medical imaging artificial intelligence (AI).Currently, it is widely thought that AI is a support tool under human supervision, AI must not fully replace humans, and humans remain crucial to healthcare (Alowais et al. 2023).Instead, Muyskens et al. suggested that under certain conditions, some healthcare processes could be entirely AI-driven with no human involvement.They argued that Spine AI (Hallinan et al. 2021), which automates preoperative lumbar spine MRI measurements, is equivalent to human radiologists and can fully replace them with little harm (Muyskens et al. 2025).While we are not bioethics experts, we find this article ambitious and highly stimulating.However, as experts in both radiology and AI, we must raise one critical opposition.The authors have a serious misbelief that AI will soon be able to fully replace human radiologists, which potentially harms patients.

Asian Bioethics ReviewVol. 17(1)
Jichi Medical University (JP), University of Tokyo Hospital (JP), The University of Tokyo (JP)
University of Tokyo
Openalex Percentile: Top 32%
Radiology practices and education
0.40
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It is Not Time to Kick Out Radiologists — Yosuke Yamagishi, Tomohiro Kikuchi, et al. · Asian Bioethics Review (2024) | TGRS Research Map | TGRS