Breaking Barriers: The Power of Artificial Intelligence in Advancing Health Equity

Arash Shaban-Nejad; Martin Michalowski; Simone Bianco

doi:10.1007/978-3-031-63592-2_1

Breaking Barriers: The Power of Artificial Intelligence in Advancing Health Equity

Arash Shaban-Nejad
, Martin Michalowski
, Simone Bianco

Academics (Nursing)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Accessing and obtaining quality clinical and medical care varies among different population groups in society. This leads to disparities in their health, longevity and quality of life. AI-driven tools and algorithms can use social determinants of health (SDoH) data, along with other data sets, to identify and address disparities in healthcare access and outcomes. AI algorithms collect, integrate, process and analyze large structured and unstructured datasets, including socioeconomic factors, neighborhood conditions, and healthcare utilization patterns, to identify populations at risk and design customized interventions accordingly. Moreover, AI facilitates targeted resource allocation, optimizing healthcare delivery to underserved communities. This chapter aims to explore applications of artificial intelligence tools and techniques to better understand and mitigate social determinants of health, and therefore promote equity, improve health outcomes, and reduce disparities across populations.

Original language	English (US)
Title of host publication	AI for Health Equity and Fairness - Leveraging AI to Address Social Determinants of Health
Editors	Arash Shaban-Nejad, Martin Michalowski, Simone Bianco
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	1-8
Number of pages	8
ISBN (Print)	9783031635915
DOIs	https://doi.org/10.1007/978-3-031-63592-2_1
State	Published - 2024
Event	Health Intelligence work-shop, co-located with 38th Association for the Advancement of Artificial Intelligence(AAAI) conference, 2024 - Vancouver, Canada Duration: Feb 20 2024 → Feb 27 2024

Publication series

Name	Studies in Computational Intelligence
Volume	1164 SCI
ISSN (Print)	1860-949X
ISSN (Electronic)	1860-9503

Conference

Conference	Health Intelligence work-shop, co-located with 38th Association for the Advancement of Artificial Intelligence(AAAI) conference, 2024
Country/Territory	Canada
City	Vancouver
Period	2/20/24 → 2/27/24

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

UN SDGs

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

SDG 3 Good Health and Well-being
SDG 10 Reduced Inequalities

Keywords

Artificial intelligence
Health AI
Health disparities
Health equity
Social determinants of health

Publisher link

10.1007/978-3-031-63592-2_1

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Cite this

Shaban-Nejad, A., Michalowski, M., & Bianco, S. (2024). Breaking Barriers: The Power of Artificial Intelligence in Advancing Health Equity. In A. Shaban-Nejad, M. Michalowski, & S. Bianco (Eds.), AI for Health Equity and Fairness - Leveraging AI to Address Social Determinants of Health (pp. 1-8). (Studies in Computational Intelligence; Vol. 1164 SCI). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-63592-2_1

Breaking Barriers: The Power of Artificial Intelligence in Advancing Health Equity. / Shaban-Nejad, Arash; Michalowski, Martin; Bianco, Simone.
AI for Health Equity and Fairness - Leveraging AI to Address Social Determinants of Health. ed. / Arash Shaban-Nejad; Martin Michalowski; Simone Bianco. Springer Science and Business Media Deutschland GmbH, 2024. p. 1-8 (Studies in Computational Intelligence; Vol. 1164 SCI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Shaban-Nejad, A, Michalowski, M & Bianco, S 2024, Breaking Barriers: The Power of Artificial Intelligence in Advancing Health Equity. in A Shaban-Nejad, M Michalowski & S Bianco (eds), AI for Health Equity and Fairness - Leveraging AI to Address Social Determinants of Health. Studies in Computational Intelligence, vol. 1164 SCI, Springer Science and Business Media Deutschland GmbH, pp. 1-8, Health Intelligence work-shop, co-located with 38th Association for the Advancement of Artificial Intelligence(AAAI) conference, 2024, Vancouver, Canada, 2/20/24. https://doi.org/10.1007/978-3-031-63592-2_1

Shaban-Nejad A, Michalowski M, Bianco S. Breaking Barriers: The Power of Artificial Intelligence in Advancing Health Equity. In Shaban-Nejad A, Michalowski M, Bianco S, editors, AI for Health Equity and Fairness - Leveraging AI to Address Social Determinants of Health. Springer Science and Business Media Deutschland GmbH. 2024. p. 1-8. (Studies in Computational Intelligence). doi: 10.1007/978-3-031-63592-2_1

Shaban-Nejad, Arash ; Michalowski, Martin ; Bianco, Simone. / Breaking Barriers : The Power of Artificial Intelligence in Advancing Health Equity. AI for Health Equity and Fairness - Leveraging AI to Address Social Determinants of Health. editor / Arash Shaban-Nejad ; Martin Michalowski ; Simone Bianco. Springer Science and Business Media Deutschland GmbH, 2024. pp. 1-8 (Studies in Computational Intelligence).

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KW - Health disparities

KW - Health equity

KW - Social determinants of health

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Breaking Barriers: The Power of Artificial Intelligence in Advancing Health Equity

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

Publisher link

Find It

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