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 …

This review examines the dichotomy between automatic and autonomous behaviors in
surgical robots, maps the possible levels of autonomy of these robots, and describes the …

Modern endoscopy relies on digital technology, from high-resolution imaging sensors and
displays to electronics connecting configurable illumination and actuation systems for …

Measuring morphological and biochemical features of tissue is crucial for disease diagnosis
and surgical guidance, providing clinically significant information related to pathophysiology …

Significance: Surgical microscopes provide adjustable magnification, bright illumination, and
clear visualization of the surgical field and have been increasingly used in operating rooms …

The standard-of-care for the detection of laryngeal pathologies involves distinguishing
suspicious lesions from surrounding healthy tissue via contrasts in colour and texture …

This is a review focused on advances and current limitations of computer vision (CV) and
how CV can help us obtain to more autonomous actions in surgery. It is a follow-up article to …

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 …

Semantic image segmentation is an important prerequisite for context-awareness and
autonomous robotics in surgery. The state of the art has focused on conventional RGB video …

Simple Summary Detection of colorectal carcinoma is performed visually by investigators
and is confirmed pathologically. With hyperspectral imaging, an expanded spectral range of …