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
- machine learning
- artificial intelligence
- high resolution
- clinical trial
- minimally invasive
- oxidative stress
- coronary artery bypass
- coronary artery disease
- randomized controlled trial
- mass spectrometry
- patients undergoing
- phase ii
- single cell
- acute coronary syndrome
- anti inflammatory
- percutaneous coronary intervention
- fluorescence imaging
- open label