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

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...

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Vydané v:Radiological physics and technology Ročník 13; číslo 1; s. 6 - 19
Hlavný autor: Fujita, Hiroshi
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Singapore Springer Singapore 01.03.2020
Springer Nature B.V
Predmet:
Artificial Intelligence
Chess
Deep Learning
Diagnosis
Diagnosis, Computer-Assisted - methods
Diagnostic systems
Evolution
Humans
Image Interpretation, Computer-Assisted - methods
Image Processing, Computer-Assisted - methods
Imaging
Lung Neoplasms - diagnostic imaging
Machine Learning
Medical and Radiation Physics
Medical imaging
Medicine
Medicine & Public Health
Neoplasms - diagnostic imaging
Nuclear Medicine
Radiology
Radiotherapy
Stroke - diagnostic imaging
Tomography, X-Ray Computed
Deep learning
Medical image recognition
Artificial intelligence (AI)
Convolutional neural network
Computer-aided detection/diagnosis (CAD)
Machine learning
ISSN:1865-0333, 1865-0341, 1865-0341
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Popis
Shrnutí: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.
Bibliografia:ObjectType-Article-1
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ISSN:1865-0333
1865-0341
1865-0341
DOI:10.1007/s12194-019-00552-4