Tracked shipping to South Africa with premium packaging for just R199 

Ship to
South Africa
0

My Account

  • argentina
  • chile
  • colombia
  • españa
  • méxico
  • perú
  • estados unidos
  • internacional

menu

Select your country

Americas

Europe

Rest of the world

portada Artificial Intelligence-Empowered Bio-Medical Applications: Challenges, Solutions and Development Guidelines (Learning and Analytics in Intelligent Systems, 49)
Type
Physical Book
Publisher
Author
Language
English
Pages
287
Format
Hardcover
ISBN13
9783031901737

Artificial Intelligence-Empowered Bio-Medical Applications: Challenges, Solutions and Development Guidelines (Learning and Analytics in Intelligent Systems, 49)

Dimitrios P. Panagoulias; George A. Tsihrintzis; Maria Virvou (Author) · Springer · Hardcover

Artificial Intelligence-Empowered Bio-Medical Applications: Challenges, Solutions and Development Guidelines (Learning and Analytics in Intelligent Systems, 49) - Dimitrios P. Panagoulias; George A. Tsihrintzis; Maria Virvou

Cheaper New Book Imported to South Africa
Delivery: 20 Oct - 02 Nov Shipping: 16 to 20 business days.
R 2,616
Faster New Book Imported to South Africa
Delivery: 15 Oct - 23 Oct Shipping: 13 to 14 business days.
R 3,289
R 2,616

Choose the list to add your product or create one New List

Go to My Wishlists
Calculate shipping cost

Synopsis "Artificial Intelligence-Empowered Bio-Medical Applications: Challenges, Solutions and Development Guidelines (Learning and Analytics in Intelligent Systems, 49)"

The book delves into advancements in personalized medicine, highlighting the transition from generalized treatments to tailored strategies through AI and machine learning. It first emphasizes the role of biomarkers in training predictive models and neural networks, enhancing disease diagnosis and patient management. It then explores AI-driven healthcare systems, particularly the use of microservices to improve scalability and management. Additionally, it examines regulatory challenges, the need for AI explainability, and the PINXEL framework, which defines explainability requirements using the technology acceptance model (TAM) and the diffusion of innovation theory (DOI). Furthermore, the book evaluates the capabilities of large language models, including ChatGPT and GPT-4V, in medical applications, with a focus on diagnosis and structured assessments in general pathology. Lastly, it introduces an AI-powered system for primary care diagnosis that integrates language models, machine learning, and rule-based systems. The interactive AI assistants "MedPrimary AI assistant" and "Dermacen Analytica" leverage natural language processing, image analysis, and multi-modal AI to enhance patient interactions and provide healthcare professionals with high-accuracy, personalized diagnostic support. By taking a holistic approach, the book underscores the integration of AI into healthcare, aiming to support medical professionals in patient diagnosis and management with precision and adaptability.

Customers reviews

More customer reviews
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)

Frequently Asked Questions about the Book

Is the book original?

All books in our catalog are Original.

In what language is the book written?

The book is written in English.

What is the format of this book?

The binding of this edition is Hardcover.

Questions and Answers about the Book

Do you have a question about the book? Login to be able to add your own question.

Opinions about Bookdelivery

More customer reviews