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Principles and Methods of Explainable Artificial Intelligence in Healthcare

Name: Principles and Methods of Explainable Artificial Intelligence in Healthcare
Brand: IGI Global
SKU: 9781668437919
Price: 2285.72 RON
Availability: InStock

Autor: ALBUQUERQUE SRINIVA

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Editura: IGI Global

Disponibilitate: În depozitul extern

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Explainable artificial intelligence is proficient in operating and analyzing the unconstrainted envi...

Informații despre carte

Autor

ALBUQUERQUE SRINIVA

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2022

Pagini

325

EAN

9781668437919

ISBN

1668437910

Enbook ID

38751904

Editura

IGI Global

Greutate

903

Dimensiuni

216 x 279 x 25

Descriere completă

Explainable artificial intelligence is proficient in operating and analyzing the unconstrainted environment in fields like robotic medicine, robotic treatment, and robotic surgery, which rely on computational vision for analyzing complex situations. Explainable artificial intelligence is a well-structured customizable technology that makes it possible to generate promising unbiased outcomes. The model's adaptability facilitates the management of heterogeneous healthcare data and the visualization of biological structures through virtual reality. Explainable artificial intelligence has newfound applications in the healthcare industry, such as clinical trial matching, continuous healthcare monitoring, probabilistic evolutions, and evidence-based mechanisms. Principles and Methods of Explainable Artificial Intelligence in Healthcare discusses explainable artificial intelligence and its applications in healthcare, providing a broad overview of state-of-the-art approaches for accurate analysis and diagnosis. The book also encompasses computational vision processing techniques that handle complex data like physiological information, electronic healthcare records, and medical imaging data that assist in earlier prediction. Covering topics such as neural networks and disease detection, this reference work is ideal for industry professionals, practitioners, academicians, researchers, scholars, instructors, and students.

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Principles and Methods of Explainable Artificial Intelligence in Healthcare

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