Artificial intelligence on the identification of risk groups for osteoporosis, a general review

Artificial intelligence on the identification of risk groups for osteoporosis, a general review

Abstract Introduction The goal of this paper is to present a critical review on the main systems that use artificial intelligence to identify groups at risk for osteoporosis or fractures. The systems considered for this study were those that fulfilled the following requirements: range of coverage in...

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Bibliographic Details
Main Authors: Agnaldo S. Cruz, Hertz C. Lins, Ricardo V. A. Medeiros, José M. F. Filho, Sandro G. da Silva
Format: Article
Language:English
Published: BMC 2018-01-01
Series:BioMedical Engineering OnLine
Subjects:
Artificial intelligence
Osteoporosis
Fracture
Neural network
Computer-aided detection system
Online Access:http://link.springer.com/article/10.1186/s12938-018-0436-1

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http://link.springer.com/article/10.1186/s12938-018-0436-1

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