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![Artificial Intelligence in Medicine](/uploads/posts/2023-03/1680100401_8151_artificial_int_llig_nc__in_m_dicin_.jpg)
Автор: Niklas Lidstromer, Hutan Ashrafian
Издательство: Springer
Год: 2022
Страниц: 1848
Язык: английский
Формат: pdf (true)
Размер: 41.1 MB
This book provides a structured and analytical guide to the use of Artificial Intelligence in medicine. Covering all areas within medicine, the chapters give a systemic review of the history, scientific foundations, present advances, potential trends, and future challenges of Artificial Intelligence within a healthcare setting. Artificial Intelligence in Medicine aims to give readers the required knowledge to apply Artificial Intelligence to clinical practice. The book is relevant to medical students, specialist doctors, and researchers whose work will be affected by Artificial Intelligence. There are several languages used in AI applications, and one of the most popular and wellknown is Python, partly because of its simple and functional syntaxes, and also for the great number of libraries designed for Python (to implement Machine Learning algorithms in a straight-forward manner), such as Keras and Tensorflow. The Python advantages are related to its simplicity and their maintainability as well as the possibility to connect and integrate with files written in other programming languages. Problems of memory usage and not having multithreading are substantial Python disadvantages.