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Advances in Artificial Systems for Medicine and Education II [[electronic resource] /] / edited by Zhengbing Hu, Sergey V. Petoukhov, Matthew He



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Titolo: Advances in Artificial Systems for Medicine and Education II [[electronic resource] /] / edited by Zhengbing Hu, Sergey V. Petoukhov, Matthew He Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Edizione: 1st ed. 2020.
Descrizione fisica: 1 online resource (xix, 787 pages) : illustrations
Disciplina: 610.28563
Soggetto topico: Computational intelligence
Biomedical engineering
Artificial intelligence
Computational Intelligence
Biomedical Engineering and Bioengineering
Artificial Intelligence
Persona (resp. second.): HuZhengbing
PetoukhovSergey V
HeMatthew
Sommario/riassunto: This book includes the proceedings of the Second International Conference of Artificial Intelligence, Medical Engineering, Education (AIMEE2018), held in Moscow, Russia, on 6–8 October 2018. The conference covered advances in the development of artificial intelligence systems and their applications in various fields, from medicine and technology to education. The papers presented in the book discuss topics in mathematics and biomathematics; medical approaches; and technological and educational approaches. Given the rapid development of artificial intelligence systems, the book highlights the need for more intensive training for a growing number of specialists, particularly in medical engineering, to increase the effectiveness of medical diagnosis and treatment. The book is intended for specialists, students and other readers who would like to know where artificial intelligence systems can beneficially be applied in the future.
Titolo autorizzato: Advances in Artificial Systems for Medicine and Education II  Visualizza cluster
ISBN: 3-030-12082-1
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910484732203321
Lo trovi qui: Univ. Federico II
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Serie: Advances in Intelligent Systems and Computing, . 2194-5357 ; ; 902