Fluorescence-guided surgery using tumour-targeted imaging agents has emerged over the
past decade as a promising and effective method of intraoperative cancer detection. An …

Recent developments in data science in general and machine learning in particular have
transformed the way experts envision the future of surgery. Surgical Data Science (SDS) is a …

Hyperspectral imaging (HSI) is a novel optical imaging modality, which has recently found
diverse applications in the medical field. HSI is a hybrid imaging modality, combining a …

A new concept in intraoperative decision support for tumour delineation is proposed
showing that artificial intelligence provides categorising information and interpretation from …

Effectiveness of computer vision techniques has been demonstrated through a number of
applications, both within and outside healthcare. The operating room environment …

Background: Modern surgical medicine strives to manage trauma while improving outcomes
using functional imaging. Identification of viable tissues is crucial for the surgical …

Background Fluorescence-based enhanced reality (FLER) is a computer-based
quantification method of fluorescence angiographies to evaluate bowel perfusion. The aim …

Effective and safe surgery results from a complex sociotechnical process prone to human
error. Acquiring large amount of data on surgical care and modelling the process of surgery …

Simple Summary The most frequent post-operative complication in thyroid surgery is
hypoparathyroidism leading to temporary or definitive low blood calcium levels. This …

Introduction Near-infrared fluorescence cholangiography (NIRF-C) is a popular application
of fluorescence image-guided surgery (FIGS). NIRF-C requires near-infrared optimized …