Machine Learning: A New Aspect of Radiography

Beskrivelse

Machine learning (ML) and deep learning (DL) are becoming established disciplines in the broad field of applying artificial intelligence in analysing and utilising patterns in data sets. As the complexity - as well as the sheer amount of - data increases, applying these patterns to the benefit of, e.g. clinical decision making, becomes increasingly nontrivial. Extraordinary advancements in areas of technology such as high-performance computing have made it possible to attempt solving these problems algorithmically. The purpose of various ML and DL algorithms may be to improve quality, consistency and/or capacity of data interpretation in diagnostics, thus improving diagnostics and treatment decisions to the benefit of clinical outcomes. Considering the implications this may have for the practice of medicine / healthcare. It is important to engage in this area of research from many perspectives. ML is already being applied to the practice of radiology, and the systems being developed today are showing to be robust to real-world conditions. In this discussion, the general concept of AI methods, together with an overview of early results in the field of medical imaging will be introduced. Furthermore, aspects of implementation and its impact will be discussed.

Periode	1 mar. 2019
Begivenhedstitel	ECR-2019 : European Congres of radiology
Begivenhedstype	Konference
Konferencenummer	25
Placering	Wien, ØstrigVis på kort
Grad af anerkendelse	International