An AI for diseases or a sick AI? The epistemological pathology of big data overload and the loss of statistical significance

Marco Roccetti

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DOI: 10.3389/frai.2026.1961525
Published: 2026-09-09
Container: Frontiers in Artificial Intelligence
Publisher: Frontiers Media SA
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3389/frai.2026.1961525,
  title = {An AI for diseases or a sick AI? The epistemological pathology of big data overload and the loss of statistical significance},
  author = {Marco Roccetti},
  year = {2026},
  journal = {Frontiers in Artificial Intelligence},
  doi = {10.3389/frai.2026.1961525},
  url = {https://doi.org/10.3389/frai.2026.1961525}
}

RIS

TY  - JOUR
TI  - An AI for diseases or a sick AI? The epistemological pathology of big data overload and the loss of statistical significance
AU  - Marco Roccetti
PY  - 2026
JO  - Frontiers in Artificial Intelligence
DO  - 10.3389/frai.2026.1961525
UR  - https://doi.org/10.3389/frai.2026.1961525
ER  -

APA

Roccetti, M. (2026). An AI for diseases or a sick AI? The epistemological pathology of big data overload and the loss of statistical significance. Frontiers in Artificial Intelligence. https://doi.org/10.3389/frai.2026.1961525

Source records

crossref · retrieved 2026-09-25T17:08:14.393Z