Artificial intelligence and machine learning in neurogenic lower urinary tract dysfunction and spinal cord injury: current status, emerging technologies, and ethical perspectives.

Levien PMF, Pannek J

DOI: 10.3389/fruro.2026.1931923
Published: 2026
Container: Frontiers in urology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fruro.2026.1931923,
  title = {Artificial intelligence and machine learning in neurogenic lower urinary tract dysfunction and spinal cord injury: current status, emerging technologies, and ethical perspectives.},
  author = {Levien PMF and Pannek J},
  year = {2026},
  journal = {Frontiers in urology},
  doi = {10.3389/fruro.2026.1931923},
  url = {https://doi.org/10.3389/fruro.2026.1931923}
}

RIS

TY  - JOUR
TI  - Artificial intelligence and machine learning in neurogenic lower urinary tract dysfunction and spinal cord injury: current status, emerging technologies, and ethical perspectives.
AU  - Levien PMF
AU  - Pannek J
PY  - 2026
JO  - Frontiers in urology
DO  - 10.3389/fruro.2026.1931923
UR  - https://doi.org/10.3389/fruro.2026.1931923
ER  -

APA

PMF, L., & J, P. (2026). Artificial intelligence and machine learning in neurogenic lower urinary tract dysfunction and spinal cord injury: current status, emerging technologies, and ethical perspectives.. Frontiers in urology. https://doi.org/10.3389/fruro.2026.1931923

Source records

pubmed · retrieved 2026-09-25T21:14:36.902Z