Using artificial intelligence to enhance patient autonomy in healthcare decision-making

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985955%3A_____%2F25%3A00597136" target="_blank" >RIV/67985955:_____/25:00597136 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.1007/s00146-024-01956-6" target="_blank" >https://doi.org/10.1007/s00146-024-01956-6</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s00146-024-01956-6" target="_blank" >10.1007/s00146-024-01956-6</a>

Result language

angličtina

Original language name

Using artificial intelligence to enhance patient autonomy in healthcare decision-making

Original language description

The use of artificial intelligence in healthcare contexts is highly controversial for the (bio)ethical conundrums it creates. One of the main problems arising from its implementation is the lack of transparency of machine learning algorithms, which is thought to impede the patient’s autonomous choice regarding their medical decisions. If the patient is unable to clearly understand why and how an AI algorithm reached certain medical decision, their autonomy is being hovered. However, there are alternatives to prevent the negative impact of AI opacity in shared (healthcare professional–patient) decision-making processes, and benefit from the high accuracy of such systems. Despite these ethical issues, this paper advocates for its usage and also defends the positive role that it could have in enhancing patients’ autonomy. I advocate for a system where the implementation of AI is only partial, and humans will remain in control of oversighting algorithm interpretation of medical images and patients’ data.

Czech name

—

Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

60302 - Ethics (except ethics related to specific subfields)

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2025

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

AI and Society

ISSN

0951-5666

e-ISSN

1435-5655

Volume of the periodical

40

Issue of the periodical within the volume

3

Country of publishing house

GB - UNITED KINGDOM

Number of pages

10

Pages from-to

1917-1926

UT code for WoS article

001226910000001

EID of the result in the Scopus database

2-s2.0-105003236976