Machine Learning Detection of Peritoneal Entry from Vibroacoustic Signals During Veress Needle Insertion.

Spiller M, Rezapourian M, Boese A, Illanes A, Neumuth T, Esmaeili N

DOI: 10.3390/diagnostics16203297
Published: 2026 Oct 10
Container: Diagnostics (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/diagnostics16203297,
  title = {Machine Learning Detection of Peritoneal Entry from Vibroacoustic Signals During Veress Needle Insertion.},
  author = {Spiller M and Rezapourian M and Boese A and Illanes A and Neumuth T and Esmaeili N},
  year = {2026},
  journal = {Diagnostics (Basel, Switzerland)},
  doi = {10.3390/diagnostics16203297},
  url = {https://doi.org/10.3390/diagnostics16203297}
}

RIS

TY  - JOUR
TI  - Machine Learning Detection of Peritoneal Entry from Vibroacoustic Signals During Veress Needle Insertion.
AU  - Spiller M
AU  - Rezapourian M
AU  - Boese A
AU  - Illanes A
AU  - Neumuth T
AU  - Esmaeili N
PY  - 2026
JO  - Diagnostics (Basel, Switzerland)
DO  - 10.3390/diagnostics16203297
UR  - https://doi.org/10.3390/diagnostics16203297
ER  -

APA

M, S., M, R., A, B., A, I., T, N., & N, E. (2026). Machine Learning Detection of Peritoneal Entry from Vibroacoustic Signals During Veress Needle Insertion.. Diagnostics (Basel, Switzerland). https://doi.org/10.3390/diagnostics16203297

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pubmed · retrieved 2026-11-10T12:49:13.820Z