Machine Learning Detection of Peritoneal Entry from Vibroacoustic Signals During Veress Needle Insertion.
Overview & Synopsis
Open access biomedical research article published in Diagnostics (Basel).
Indexed from repository: PubMed Central
(
pmc.ncbi.nlm.nih.gov)
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Document Information
| Document Title | Machine Learning Detection of Peritoneal Entry from Vibroacoustic Signals During Veress Needle Insertion. |
|---|---|
| Author / Organization | Spiller M, Rezapourian M, Boese A, Illanes A, Neumuth T, Esmaeili N |
| Subject & Discipline | Diagnostics (Basel) |
| Categories | Medicine & Health |
| Publication Year | 2026 |
| License / Rights | Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
PubMed Central
(pmc.ncbi.nlm.nih.gov)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-153729 |
| Original Source Link | Visit Source Page on pmc.ncbi.nlm.nih.gov » |