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Open Access 28-08-2023 | Artificial Intelligence | Chest Radiology

New trend in artificial intelligence-based assistive technology for thoracic imaging

Authors: Masahiro Yanagawa, Rintaro Ito, Taiki Nozaki, Tomoyuki Fujioka, Akira Yamada, Shohei Fujita, Koji Kamagata, Yasutaka Fushimi, Takahiro Tsuboyama, Yusuke Matsui, Fuminari Tatsugami, Mariko Kawamura, Daiju Ueda, Noriyuki Fujima, Takeshi Nakaura, Kenji Hirata, Shinji Naganawa

Published in: La radiologia medica | Issue 10/2023

Abstract

Although there is no solid agreement for artificial intelligence (AI), it refers to a computer system with intelligence similar to that of humans. Deep learning appeared in 2006, and more than 10 years have passed since the third AI boom was triggered by improvements in computing power, algorithm development, and the use of big data. In recent years, the application and development of AI technology in the medical field have intensified internationally. There is no doubt that AI will be used in clinical practice to assist in diagnostic imaging in the future. In qualitative diagnosis, it is desirable to develop an explainable AI that at least represents the basis of the diagnostic process. However, it must be kept in mind that AI is a physician-assistant system, and the final decision should be made by the physician while understanding the limitations of AI. The aim of this article is to review the application of AI technology in diagnostic imaging from PubMed database while particularly focusing on diagnostic imaging in thorax such as lesion detection and qualitative diagnosis in order to help radiologists and clinicians to become more familiar with AI in thorax.

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Title: New trend in artificial intelligence-based assistive technology for thoracic imaging
Authors: Masahiro Yanagawa
Rintaro Ito
Taiki Nozaki
Tomoyuki Fujioka
Akira Yamada
Shohei Fujita
Koji Kamagata
Yasutaka Fushimi
Takahiro Tsuboyama
Yusuke Matsui
Fuminari Tatsugami
Mariko Kawamura
Daiju Ueda
Noriyuki Fujima
Takeshi Nakaura
Kenji Hirata
Shinji Naganawa
Publication date: 28-08-2023
Publisher: Springer Milan
Keywords: Artificial Intelligence
Computed Tomography
Computed Tomography
Pulmonary Nodule
Published in: La radiologia medica / Issue 10/2023
Print ISSN: 0033-8362
Electronic ISSN: 1826-6983
DOI: https://doi.org/10.1007/s11547-023-01691-w

Keynote webinar | Spotlight on medication adherence

Springer Medicine

New trend in artificial intelligence-based assistive technology for thoracic imaging

Abstract

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

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