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Radiological Physics and Technology

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01.03.2020

AI-based computer-aided diagnosis (AI-CAD): the latest review to read first

verfasst von: Hiroshi Fujita

Erschienen in: Radiological Physics and Technology | Ausgabe 1/2020

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Abstract

The third artificial intelligence (AI) boom is coming, and there is an inkling that the speed of its evolution is quickly increasing. In games like chess, shogi, and go, AI has already defeated human champions, and the fact that it is able to achieve autonomous driving is also being realized. Under these circumstances, AI has evolved and diversified at a remarkable pace in medical diagnosis, especially in diagnostic imaging. Therefore, this commentary focuses on AI in medical diagnostic imaging and explains the recent development trends and practical applications of computer-aided detection/diagnosis using artificial intelligence, especially deep learning technology, as well as some topics surrounding it.

On December 6, 2018, approval for the software to determine if it is a neoplastic polyp or not with possibility shown as a number in the super-magnifying endoscope was freshly obtained, based on the Pharmaceuticals and Medical Devices Law in Japan. Support vector machine (SVM) type machine learning instead of deep learning is used in this system.

The American College of Radiology (ACR) Data Science Institute (DSI) has created a new resource for radiology researchers. A complete list of AI algorithms cleared by the FDA related to medical imaging, published on the ACR DSI website, is said to be updated regularly. https://www.acrdsi.org/DSI-Services/FDA-Cleared-AI-Algorithms

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Titel: AI-based computer-aided diagnosis (AI-CAD): the latest review to read first
verfasst von: Hiroshi Fujita
Publikationsdatum: 01.03.2020
Verlag: Springer Singapore
Erschienen in: Radiological Physics and Technology / Ausgabe 1/2020
Print ISSN: 1865-0333
Elektronische ISSN: 1865-0341
DOI: https://doi.org/10.1007/s12194-019-00552-4

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