Artificial intelligence in healthcare clinical decision support and modeling Dominic Etli

Format:

Book

Author/Creator:

Etli, Dominic, Author.

Series:

License, disclaimer of liability, and limited warranty

Language:

English

Subjects (All):

Artificial intelligence--Medical applications.

Medical informatics.

Physical Description:

1 online resource

Place of Publication:

Boston, Massachusetts Mercury Learning and Information [2025]

Summary:

The field of healthcare is being transformed by artificial intelligence (AI). Professionals need to comprehend the potential impact of AI on clinical decision support and epidemiological modeling. This comprehensive guide helps bridge the gap between theory and practice, providing readers with the knowledge and skills needed to leverage AI in healthcare. The book covers a broad range of topics, from the basics of AI and machine learning to the creation and assessment of clinical decision support systems. It also covers the use of state-of-the-art AI methods for disease surveillance and outbreak prediction. Through a mix of theoretical explanations, practical examples, and hands-on exercises, readers will learn how to prepare and manipulate clinical and epidemiological datasets, build, and implement cutting-edge AI solutions, and address the ethical considerations and challenges of applying AI in healthcare. What makes this book unique is its combination of expert insights from a practitioner's perspective, real-world case studies, and a practical approach to walk readers through the process of developing and implementing AI solutions. Additional online resources, like datasets, code samples, and case studies, further enrich the learning experience. Whether you are a healthcare professional looking to enhance patient outcomes, a data scientist striving to create innovative AI solutions, or a student eager to explore the frontiers of healthcare technology, this book is an essential resource"-- De Gruyter Brill

Contents:

Introduction to AI and clinical informatics

Machine learning in healthcare

Neural networks and deep learning

Natural language processing

Data mining and predictive analytics

Core areas of clinical informatics

From bench to bedside : translating AI into practice

Case studies in clinical decision support systems

The road ahead : what’s next for AI in healthcare

Resources and continuing education

Notes:

Includes bibliographical references and index

Online resource; title from PDF title page (De Gruyter Brill, viewed June 5, 2026)

Other Format:

Print version Etli, Dominic Artificial intelligence in healthcare

ISBN:

9781501521539

1501521535

9781501521560

150152156X

OCLC:

1559561724

Access Restriction:

Restricted for use by site license