Artificial Intelligence and Machine Learning for Healthcare: Vol. 1: Image and Data Analytics: 228 (Intelligent Systems Reference Library) - Tapa blanda

Libro 187 de 188: Intelligent Systems Reference Library
 
9783031111563: Artificial Intelligence and Machine Learning for Healthcare: Vol. 1: Image and Data Analytics: 228 (Intelligent Systems Reference Library)
Tapa blanda
ISBN 10: 3031111567 ISBN 13: 9783031111563
Editorial: Springer, 2023

Sinopsis

Artificial intelligence (AI) and machine learning (ML) have transformed many standard and conventional methods in undertaking health and well-being issues of humans.  AL/ML-based systems and tools play a critical role in this digital and big data era to address a variety of medical and healthcare problems, improving treatments and quality of care for patients. 

This edition on AI and ML for healthcare consists of two volumes.  The first presents selected AI and ML studies on medical imaging and healthcare data analytics, while the second unveils emerging methodologies and trends in AI and ML for delivering better medical treatments and healthcare services in the future.

In this first volume, progresses in AI and ML technologies for medical image, video, and signal processing as well as health information and data analytics are presented.  These selected studies offer readers theoretical and practical knowledge and ideas pertaining to recent advances in AI and ML for effective and efficient image and data analytics, leading to state-of-the-art AI and ML technologies for advancing the healthcare sector.

"Sinopsis" puede pertenecer a otra edición de este libro.

De la contraportada

Artificial intelligence (AI) and machine learning (ML) have transformed many standard and conventional methods in undertaking health and well-being issues of humans.  AL/ML-based systems and tools play a critical role in this digital and big data era to address a variety of medical and healthcare problems, improving treatments and quality of care for patients.

This edition on AI and ML for healthcare consists of two volumes.  The first presents selected AI and ML studies on medical imaging and healthcare data analytics, while the second unveils emerging methodologies and trends in AI and ML for delivering better medical treatments and healthcare services in the future.

In this first volume, progresses in AI and ML technologies for medical image, video, and signal processing as well as health information and data analytics are presented.  These selected studies offer readers theoretical and practical knowledge and ideas pertaining to recent advances in AI and ML for effective and efficient image and data analytics, leading to state-of-the-art AI and ML technologies for advancing the healthcare sector.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2023
Idioma
Inglés
ISBN 10 
3031111567
ISBN 13 
9783031111563
Encuadernación
Tapa blanda
Número de edición
1
Número de páginas
248
Editor
Lim Chee-Peng, Vaidya Ashlesha, Chen Yen-Wei, Jain Tejasvi, Jain Lakhmi C.
Contacto del fabricante
ProductSafety@springernature.com
ProductSafety@springernature.com

Poststr. 9
Darmstadt
64293
Alemania

Otras ediciones populares con el mismo título

9783031111532: Artificial Intelligence and Machine Learning for Healthcare: Vol. 1: Image and Data Analytics: 228 (Intelligent Systems Reference Library, 228)

Edición Destacada

ISBN 10:  3031111532 ISBN 13:  9783031111532
Editorial: Springer, 2022
Tapa dura