Artificial intelligence (AI) in biomedical research: discussion on authors' declaration of AI in their articles title

被引:3
|
作者
Sardanelli, Francesco [1 ,2 ]
Castiglioni, Isabella [3 ,4 ]
Colarieti, Anna [2 ]
Schiaffino, Simone [2 ]
Di Leo, Giovanni [2 ]
机构
[1] Univ Milan, Dept Biomed Sci Hlth, Via Luigi Mangiagalli 31, I-20133 Milan, Italy
[2] IRCCS Policlin San Donato, Unit Radiol, Milan, Italy
[3] Univ Milano Bicocca, Dept Phys, Piazza Sci 3, I-20126 Milan, Italy
[4] CNR, Inst Biomed Imaging & Physiol, Via Fratelli Cervi 93, I-20090 Segrate, Italy
关键词
Artificial intelligence; Big data; Deep learning; Machine learning; Regression analysis; CANCER;
D O I
10.1186/s41747-022-00316-7
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Artificial intelligence (AI) and its different approaches, from machine learning to deep learning, are not new. We discuss here about the declaration of AI in the title of those articles dealing with AI. From 1990 to 2021, while AI articles in the PubMed increased from 300 to 59,596, the percentage declaring AI in the title describes a U-like-shaped curve: about 30% in early 1990s, less than 13% in 2005-2014, again 30% in 2020-2021. A similar trend was observed for AI in medical imaging. While the initial decline could be due to the establishment of AI methods, the recent increase could be related to the capacity of AI to outperform humans, especially in image recognition, fuelled by the adoption of graphic processing units for general purpose computing. The recent increase may also be due to the relevance of open issues about AI, including the standardisation of methods, explainability of results, and concerns about AI-induced epoch-making transformations: to say "We are using AI" in the title may also reflect these concerns.
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页数:6
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