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Peer-reviewedCC BYDiagnostics (Basel, Switzerland)

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

  • Moritz Spiller1
  • Mohammad Rezapourian2
  • Axel Boese3
  • Alfredo Illanes4
  • Thomas Neumuth1
  • Nazila Esmaeili5
5 affiliations
  1. 1Innovation Center Computer Assisted Surgery (ICCAS), , Semmelweissstr. 14, 04103 Leipzig, Germany
  2. 2Department of Neuroradiology, Medical Faculty, , Leipziger Str. 44, 39120 Magdeburg, Germany;
  3. 3Institute for Medical Technology, “Medical Technical Systems”, , Universitätsplatz 2, 39106 Magdeburg, Germany
  4. 4Faculty of Computer Science and Research Campus STIMULATE, , Universitätsplatz 2, 39106 Magdeburg, Germany;
  5. 5Center for Digital Surgery, Department of General, Visceral, and Pediatric Surgery, , Robert-Koch-Straße 40, 37075 Göttingen, Germany;
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Cite

BibTeXRIS
BibTeX
@article{spiller2026machine,
  title = {{Machine Learning Detection of Peritoneal Entry from Vibroacoustic Signals During Veress Needle Insertion}},
  author = {Moritz Spiller and Mohammad Rezapourian and Axel Boese and Alfredo Illanes and Thomas Neumuth and Nazila Esmaeili},
  journal = {Diagnostics (Basel, Switzerland)},
  year = {2026},
  month = oct,
  url = {https://europepmc.org/article/PMC/PMC13702885},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Machine Learning Detection of Peritoneal Entry from Vibroacoustic Signals During Veress Needle Insertion
AU  - Moritz Spiller
AU  - Mohammad Rezapourian
AU  - Axel Boese
AU  - Alfredo Illanes
AU  - Thomas Neumuth
AU  - Nazila Esmaeili
PY  - 2026
DA  - 2026/10/01
JO  - Diagnostics (Basel, Switzerland)
UR  - https://europepmc.org/article/PMC/PMC13702885
SN  - 2075-4418
ER  -