Surgical optomics: hyperspectral imaging and deep learning towards precision intraoperative automatic tissue recognition-results from the EX-MACHYNA trial.
Elisa BannoneToby CollinsAlessandro EspositoLorenzo CinelliMatteo De PastenaPatrick PessauxEmanuele FelliElena AndreottiNariaki OkamotoManuel BarberioEric FelliRoberto Maria MontorsiNaomi IngaglioMaría Rita Rodríguez-LunaRichard NkusiJacque MarescauxAlexandre HostettlerRoberto SalviaMichele DianaPublished in: Surgical endoscopy (2024)
To improve automatic surgical scene segmentation and to drive clinical translation, multicenter accurate HSI datasets are essential, but further work is needed to quantify the clinical value of HSI. HSI might be included in a new omics science, namely surgical optomics, which uses light to extract quantifiable tissue features during surgery.
Keyphrases
- deep learning
- convolutional neural network
- artificial intelligence
- machine learning
- high resolution
- minimally invasive
- clinical trial
- public health
- oxidative stress
- study protocol
- coronary artery bypass
- randomized controlled trial
- single cell
- photodynamic therapy
- percutaneous coronary intervention
- mass spectrometry
- double blind
- rna seq
- surgical site infection