The Current State of Artificial Intelligence in Medical Imaging and Nuclear Medicine
- PMID: 33178956
- PMCID: PMC7592467
- DOI: 10.1259/bjro.20190037
The Current State of Artificial Intelligence in Medical Imaging and Nuclear Medicine
Abstract
The last decade has seen a huge surge in interest surrounding artificial intelligence (AI). AI has been around since the 1950s, although technological limitations in the early days meant performance was initially inferior compared to humans.1 With rapid progression of algorithm design, growth of vast digital datasets and development of powerful computing power, AI now has the capability to outperform humans. Consequently, the integration of AI into the modern world is skyrocketing. This review article will give an overview of the use of AI in the modern world and discuss current and potential uses in healthcare, with a particular focus on its applications and likely impact in medical imaging. We will discuss the consequences and challenges of AI integration into healthcare.
© 2019 The Authors. Published by the British Institute of Radiology.
References
-
- Noyes J. Artificial intelligence common lisp: fundamentals of symbolic and numeric processing, D . C. Heath and Company 1992;.
-
- Russell S, Norvig P. Artificial intelligence a modern approach. 3rd Edn: Pearsons; 2009.
-
- Mitchell TM. Machine Learning: McGraw-Hill Higher Education; 1997.
-
- Kotsiantis SB. Supervised machine learning: a review of classification techniques, Informatica . 2007; 31: 249–68.
-
- Sutton RS, Barto AG. Introduction to reinforcement learning. 9: MIT Press; 1998. 1054. doi: 10.1109/TNN.1998.712192 - DOI
Publication types
LinkOut - more resources
Full Text Sources
