Data‐driven decisions about individual patients: The case of medical AI

There are high hopes that clinical decisions can be improved by adopting algorithms trained to estimate the likelihood that a patient suffers a condition C. Introducing work on the epistemic value of purely statistical evidence in legal epistemology I show that a certain type of AI devices for makin...

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Bibliographic Details
Published in:Journal of evaluation in clinical practice 2024-08, Vol.30 (5), p.735-740
Main Author: Holm, Sune
Format: Article
Language:English
Subjects:
algorithm
Artificial intelligence
Clinical decision making
decision‐making
medicine
Patient care planning
Patient safety
Statistical analysis
statistical evidence
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Summary:There are high hopes that clinical decisions can be improved by adopting algorithms trained to estimate the likelihood that a patient suffers a condition C. Introducing work on the epistemic value of purely statistical evidence in legal epistemology I show that a certain type of AI devices for making medical decisions about persons rely on purely statistical evidence and that it raises an important question about the appropriateness of relying on such devices for allocating health resources. If the argument I present is sound, then it suggests a radical rethinking of the use of prevalent types of AI devices as well as the use of statistical evidence in medical practice more generally.
ISSN:1356-1294
1365-2753
1365-2753
DOI:10.1111/jep.13904