Cargando…
Clinical application of machine learning and computer vision to indocyanine green quantification for dynamic intraoperative tissue characterisation: how to do it
INTRODUCTION: Indocyanine green (ICG) quantification and assessment by machine learning (ML) could discriminate tissue types through perfusion characterisation, including delineation of malignancy. Here, we detail the important challenges overcome before effective clinical validation of such capabil...
Autores principales: | Hardy, Niall P., MacAonghusa, Pol, Dalli, Jeffrey, Gallagher, Gareth, Epperlein, Jonathan P., Shields, Conor, Mulsow, Jurgen, Rogers, Ailín C., Brannigan, Ann E., Conneely, John B., Neary, Peter M., Cahill, Ronan A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10338552/ https://www.ncbi.nlm.nih.gov/pubmed/36894810 http://dx.doi.org/10.1007/s00464-023-09963-2 |
Ejemplares similares
-
Intraprocedural Artificial Intelligence for Colorectal Cancer Detection and
Characterisation in Endoscopy and Laparoscopy
por: Hardy, Niall P, et al.
Publicado: (2021) -
Utility and usability of laser speckle contrast imaging (LSCI) for displaying real-time tissue perfusion/blood flow in robot-assisted surgery (RAS): comparison to indocyanine green (ICG) and use in laparoscopic surgery
por: Liu, Yao Z., et al.
Publicado: (2022) -
Real-time administration of indocyanine green in combination with computer vision and artificial intelligence for the identification and delineation of colorectal liver metastases
por: Hardy, Niall P., et al.
Publicado: (2023) -
Impact of COVID-19 on common non-elective general surgery diagnoses
por: Reinke, Caroline E., et al.
Publicado: (2022) -
eTEP-RS for incisional hernias in a non-robotic center. Is laparoscopy enough to perform a durable MIS repair of the abdominal wall defect?
por: Mitura, Kryspin, et al.
Publicado: (2022)