Digital Healthcare and Artificial Intelligence:: A Primer for Clinicians and Students

Clare Rainey; Sonyia McFadden; Jonathan McConnell

doi:10.1201/9781032709956

Digital Healthcare and Artificial Intelligence: A Primer for Clinicians and Students

Clare Rainey
, Sonyia McFadden
, Jonathan McConnell

Research output: Book/Report › Book › peer-review

Abstract

Digital technologies are essential to future-proof our health service. With an ageing population and the landscape of the post-pandemic world making increasing demands on an already-stretched human workforce, maximising the potential of a digital future is necessary. This book introduces the concepts and underpinning technology behind recent developments to give a snapshot of the state of the art in the field of digital health and provides information for clinicians at all levels of experience. The reader will gain insight into digital health in general, with clinical, technical and industrial insights providing context to the theory.

Key Features

Defines the value that Artificial Intelligence (AI) brings to healthcare, resulting in improved clinical diagnosis and decision-making

Enables not just imaging staff but other healthcare practitioners to extract the best ways of working with AI using the underpinning knowledge from this text

Original language	English
Place of Publication	UK
Publisher	Taylor & Francis
Number of pages	186
Volume	1
Edition	1
ISBN (Electronic)	9781032709956
DOIs	https://doi.org/10.1201/9781032709956
Publication status	Published (in print/issue) - 2 Feb 2026

Bibliographical note

Publisher Copyright:
© 2026 selection and editorial matter, Clare Rainey, Sonyia McFadden, and Jonathan McConnell; individual chapters, the contributors.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 4 Quality Education
SDG 5 Gender Equality
SDG 9 Industry, Innovation, and Infrastructure
SDG 10 Reduced Inequalities
SDG 12 Responsible Consumption and Production

Keywords

AI
healthcare
clinicians
students

Access to Document

10.1201/9781032709956

Cite this

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