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Artificial Intelligence Explained for Nonexperts

Narges Razavian, Florian Knöll, Krzysztof J. Geras

2020Seminars in Musculoskeletal Radiology26 citationsDOIOpen Access PDF

Abstract

Artificial intelligence (AI) has made stunning progress in the last decade, made possible largely due to the advances in training deep neural networks with large data sets. Many of these solutions, initially developed for natural images, speech, or text, are now becoming successful in medical imaging. In this article we briefly summarize in an accessible way the current state of the field of AI. Furthermore, we highlight the most promising approaches and describe the current challenges that will need to be solved to enable broad deployment of AI in clinical practice.

Topics & Concepts

MedicineField (mathematics)Software deploymentArtificial intelligenceApplications of artificial intelligenceData scienceCurrent (fluid)Computer scienceSoftware engineeringPure mathematicsEngineeringElectrical engineeringMathematicsRadiomics and Machine Learning in Medical ImagingMedical Imaging Techniques and ApplicationsCOVID-19 diagnosis using AI