Artificial Intelligence and Machine Learning in Neurology, 2 Volume Set



de

, , ,

Éditeur :

Wiley-Scrivener


Paru le : 2026-01-13



eBook Téléchargement , DRM LCP 🛈 DRM Adobe 🛈
Lecture en ligne (streaming)
501,34

Téléchargement immédiat
Dès validation de votre commande
Ajouter à ma liste d'envies
Image Louise Reader présentation

Louise Reader

Lisez ce titre sur l'application Louise Reader.

Description

Unlock the future of brain health with this indispensable guide, which offers a comprehensive exploration of how artificial intelligence and machine learning are revolutionizing the diagnosis, treatment, and management of complex neurological disorders.
As neurology grapples with some of the most challenging and pervasive health issues of our time, such as Alzheimers, Parkinsons, and stroke, AI offers the potential to transcend traditional barriers in treatment and management. Technologies such as machine learning models, neural networks, and cognitive computing are used to better understand and simulate brain functions, offering insights that are impossible for traditional analytical methods. Artificial Intelligence and Machine Learning in Neurology explores the pioneering intersection of neuroscience and artificial intelligence, offering a comprehensive examination of how machine learning and AI technologies are revolutionizing the fields of neurology and mental health. This book delves into cutting-edge research and practical applications of AI in diagnosing, treating, and managing neurological disorders. It discusses the development of intelligent diagnostic systems, personalized medicine approaches, and the potential of AI to analyze vast amounts of neurological data for insights. Additionally, the book addresses ethical considerations, challenges, and future prospects in the integration of AI into neurohealth sciences, making it an indispensable guide to this emerging technology.
Pages
1072 pages
Collection
n.c
Parution
2026-01-13
Marque
Wiley-Scrivener
EAN papier
9781394389100
EAN PDF
9781394389124

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
1072
Taille du fichier
26440 Ko
Prix
501,34 €
EAN EPUB
9781394389117

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
1072
Taille du fichier
35041 Ko
Prix
501,34 €

Suggestions personnalisées