Machine Learning-Enabled Medical Devices Authorized by the US Food and Drug Administration in 2024: Regulatory Characteristics, Predicate Lineage, and Transparency Reporting.

Almarie B, Gonzalez-Gonzalez LF, Dos Santos Barbosa LA, Lutz A, Grosse U, Fregni F.

Open source

DOI
10.3390/biomedicines13123005
Published
2025-12-08
Container
Biomedicines
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.3390/biomedicines13123005,
  title = {Machine Learning-Enabled Medical Devices Authorized by the US Food and Drug Administration in 2024: Regulatory Characteristics, Predicate Lineage, and Transparency Reporting.},
  author = {Almarie B and  Gonzalez-Gonzalez LF and  Dos Santos Barbosa LA and  Lutz A and  Grosse U and  Fregni F.},
  year = {2025},
  journal = {Biomedicines},
  doi = {10.3390/biomedicines13123005},
  url = {https://doi.org/10.3390/biomedicines13123005}
}

RIS

TY  - JOUR
TI  - Machine Learning-Enabled Medical Devices Authorized by the US Food and Drug Administration in 2024: Regulatory Characteristics, Predicate Lineage, and Transparency Reporting.
AU  - Almarie B
AU  -  Gonzalez-Gonzalez LF
AU  -  Dos Santos Barbosa LA
AU  -  Lutz A
AU  -  Grosse U
AU  -  Fregni F.
PY  - 2025
JO  - Biomedicines
DO  - 10.3390/biomedicines13123005
UR  - https://doi.org/10.3390/biomedicines13123005
ER  -

APA

B, A., LF, G., LA, D. S. B., A, L., U, G., & F., F. (2025). Machine Learning-Enabled Medical Devices Authorized by the US Food and Drug Administration in 2024: Regulatory Characteristics, Predicate Lineage, and Transparency Reporting.. Biomedicines. https://doi.org/10.3390/biomedicines13123005

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