Abstract
With the urgent need for automatized algorithm applications to an ever-increasing amount of data and a further decrease of the chances of human errors on crucial tasks, artificial intelligence algorithms were introduced.
An expansive demand of AI applications in varying fields led to the development of specifically designed ad hoc algorithms with the role of better estimating (by learning) solutions to the problems.
The boost of AI in healthcare right now is a consequence of two things – the availability of big data and better processors, able to train and execute algorithmic tasks, i.e., implementations of these algorithms with neural networks.
It will soon be vital for medical students to grasp the principles of AI. The purpose of this major reference textbook on AI in medicine, of which this chapter is the base level introduction, is to become the greatest standard reference work. No area of medicine, preclinical or clinical, will escape the profound effects of AI: the whole healthcare domain will be reshaped thoroughly.
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Lidströmer, N., Aresu, F., Ashrafian, H. (2022). Basic Concepts of Artificial Intelligence: Primed for Clinicians. In: Lidströmer, N., Ashrafian, H. (eds) Artificial Intelligence in Medicine. Springer, Cham. https://doi.org/10.1007/978-3-030-64573-1_1
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DOI: https://doi.org/10.1007/978-3-030-64573-1_1
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