Hypothyroïdie congénitale et pollution : comment l’IA et le Big Data transforment la détection des signaux épidémiques
- DOI
- 10.1016/j.banm.2025.09.006
- Published
- 2026-01
- Container
- Bulletin de l'Académie Nationale de Médecine
- Publisher
- Elsevier BV
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1016/j.banm.2025.09.006,
title = {Hypothyroïdie congénitale et pollution : comment l’IA et le Big Data transforment la détection des signaux épidémiques},
author = {Olivier Jardé and Abdallah Al-Salameh and Léa Leroy and Rachel Desailloud and Sylvain Chamot},
year = {2026},
journal = {Bulletin de l'Académie Nationale de Médecine},
doi = {10.1016/j.banm.2025.09.006},
url = {https://doi.org/10.1016/j.banm.2025.09.006}
}RIS
TY - JOUR TI - Hypothyroïdie congénitale et pollution : comment l’IA et le Big Data transforment la détection des signaux épidémiques AU - Olivier Jardé AU - Abdallah Al-Salameh AU - Léa Leroy AU - Rachel Desailloud AU - Sylvain Chamot PY - 2026 JO - Bulletin de l'Académie Nationale de Médecine DO - 10.1016/j.banm.2025.09.006 UR - https://doi.org/10.1016/j.banm.2025.09.006 ER -
APA
Jardé, O., Al-Salameh, A., Leroy, L., Desailloud, R., & Chamot, S. (2026). Hypothyroïdie congénitale et pollution : comment l’IA et le Big Data transforment la détection des signaux épidémiques. Bulletin de l'Académie Nationale de Médecine. https://doi.org/10.1016/j.banm.2025.09.006
Source records
- crossref · retrieved 2026-09-25T22:17:50.195Z