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. 2024 Mar 28;16(3):69-71.
doi: 10.4329/wjr.v16.i3.69.

Artificial intelligence for disease diagnostics still has a long way to go

Jian-She Yang  1   2 , Qiang Wang  3 , Zhong-Wei Lv  4
Affiliations

Artificial intelligence for disease diagnostics still has a long way to go

Jian-She Yang et al. World J Radiol. .

Abstract

Artificial intelligence (AI) can sometimes resolve difficulties that other advanced technologies and humans cannot. In medical diagnostics, AI has the advantage of processing figure recognition, especially for images with similar characteristics that are difficult to distinguish with the naked eye. However, the mechanisms of this advanced technique should be well-addressed to elucidate clinical issues. In this letter, regarding an original study presented by Takayama et al, we suggest that the authors should effectively illustrate the mechanism and detailed procedure that artificial intelligence techniques processing the acquired images, including the recognition of non-obvious difference between the normal parts and pathological ones, which were impossible to be distinguished by naked eyes, such as the basic constitutional elements of pixels and grayscale, special molecules or even some metal ions which involved into the diseases occurrence.

Keywords: AI interactive mechanisms; Artificial intelligence; Diagnosis; Figure recognition.

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Conflict of interest statement

Conflict-of-interest statement: All authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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