Artificial intelligence in diagnostic software: validation, safety, and lifecycle challenges in Europe

Tomas Bertok, Ivana Pankuchova, Eduard Jane, Zuzana Batova, Jan Tkac

Open source

DOI
10.1016/j.cca.2026.121209
Published
2027-01
Container
Clinica Chimica Acta
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

Cite this work

BibTeX

@article{allodium:10.1016/j.cca.2026.121209,
  title = {Artificial intelligence in diagnostic software: validation, safety, and lifecycle challenges in Europe},
  author = {Tomas Bertok and Ivana Pankuchova and Eduard Jane and Zuzana Batova and Jan Tkac},
  year = {2027},
  journal = {Clinica Chimica Acta},
  doi = {10.1016/j.cca.2026.121209},
  url = {https://doi.org/10.1016/j.cca.2026.121209}
}

RIS

TY  - JOUR
TI  - Artificial intelligence in diagnostic software: validation, safety, and lifecycle challenges in Europe
AU  - Tomas Bertok
AU  - Ivana Pankuchova
AU  - Eduard Jane
AU  - Zuzana Batova
AU  - Jan Tkac
PY  - 2027
JO  - Clinica Chimica Acta
DO  - 10.1016/j.cca.2026.121209
UR  - https://doi.org/10.1016/j.cca.2026.121209
ER  - 

APA

Bertok, T., Pankuchova, I., Jane, E., Batova, Z., & Tkac, J. (2027). Artificial intelligence in diagnostic software: validation, safety, and lifecycle challenges in Europe. Clinica Chimica Acta. https://doi.org/10.1016/j.cca.2026.121209

Source records