Algorithms and Mathematical Models for Computer-Assisted Diagnostic Systems

Algorithms and mathematical models have recently seen broad use in computer-assisted diagnostic systems due to their dramatic advance in image analysis, computer vision, and time-series analysis. Algorithms and mathematical models have demonstrated their huge potential to transform computer-aided diagnosis in a wide variety of areas that range from medical disease diagnostics and classification, through mechanical systems condition monitoring, to diagnosis for chemical industries, as well as structural health diagnosis of different structures as bridges, wind turbines, or buildings. 

This Section calls for innovative work that explores recent advances, prospects and challenges in algorithms and mathematical model applications to reduce the chances of either missing, misclassifying, or overdiagnosing suspicious targets on diagnostic systems, as well as propel the path into computer-assisted prognostics. It is noteworthy that the keyword “diagnostic” has to be understood in a wide sense: medical, mechanical systems, civil engineering, chemical processes, and so on. The targeted audience includes both academic researchers and industrial practitioners. The purpose is to provide a platform to enhance interdisciplinary research and collaborations, and to share the most innovative ideas in various related fields.

• Algorithms
• Mathematical models
• Artificial intelligence
• Fault diagnosis
• Damage diagnosis
• Disease diagnosis
• Medical decision making
• Real-time diagnostics
• Prognosis