TY - JOUR

T1 - Data‐driven decisions about individual patients

T2 - The case of medical AI

AU - Holm, Sune

PY - 2023/7/25

Y1 - 2023/7/25

N2 - 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.

AB - 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.

U2 - 10.1111/jep.13904

DO - 10.1111/jep.13904

M3 - Journal article

C2 - 37491780

JO - Journal of Evaluation in Clinical Practice

JF - Journal of Evaluation in Clinical Practice

SN - 1356-1294

ER -