Appropriate artificial intelligence algorithms will ultimately contribute to health equity
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F23%3A00579685" target="_blank" >RIV/67985807:_____/23:00579685 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/B978-0-443-21598-8.00008-7" target="_blank" >http://dx.doi.org/10.1016/B978-0-443-21598-8.00008-7</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/B978-0-443-21598-8.00008-7" target="_blank" >10.1016/B978-0-443-21598-8.00008-7</a>
Alternative languages
Result language
angličtina
Original language name
Appropriate artificial intelligence algorithms will ultimately contribute to health equity
Original language description
The ideals of an inclusive society with equal opportunities for all individuals without respect, for example, to race, gender, age, or social class have recently been promoted by the United Nations or the European Union (EPRS, 2022). Sociologists, psychologists, economists, or political scientists describe inclusion as the extent to which citizens feel a subjective acceptance within the society or the extent to which they feel being integrated. Inclusion goes hand in hand with environmental responsibility, sustainability, and resilience and is connected with equity and diversity (Shaw et al., 2012). Equity in healthcare (health equity, equity in health) is defined as healthcare with fair opportunities for participation and with equal chances leading to disparate health outcomes for all. Health equity represents an intensively discussed topic with a number of references giving current examples of exclusion (as the contrary of inclusion) and its societal impacts. Inclusive healthcare means equitable access for everybody and supporting health equity is an important aspect of the movement toward an inclusive society. The rapid progress of emerging artificial intelligence (AI) technologies with a potential for a radical shift of clinical practices naturally brings consequences on health equity and a number of recent papers already described particular negative effects of AI on health equity. In the literature, an increase in health inequities is expected (Krouse, 2020) in the near future as a consequence of increasing diversity in populations and also as a result of the COVID-19 pandemic.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/NU21-08-00432" target="_blank" >NU21-08-00432: Predicting functional outcome in schizophrenia from multimodal neuroimaging and clinical data</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Artificial intelligence, Big data, blockchain and 5G for the digital transformation of the healthcare industry
ISBN
9780443215988
Number of pages of the result
20
Pages from-to
153-172
Number of pages of the book
486
Publisher name
Academic Press / Elsevier
Place of publication
Cambridge
UT code for WoS chapter
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