Danail Stoyanov

ORCID: 0000-0002-0980-3227 · 5 papers in corpus
meta-analysis 2026
NPJ digital medicine ·doi:10.1038/s41746-026-02401-2

This systematic review and meta-analysis examines the design of studies comparing the performance of artificial intelligence (AI) with that of healthcare professionals in the analysis of videos from surgical and interventional procedures, a…

meta-analysis 2024
Acta obstetricia et gynecologica Scandinavica ·doi:10.1111/aogs.14840

INTRODUCTION: There is a growing emphasis on proficiency-based progression within surgical training. To enable this, clearly defined metrics for those newly acquired surgical skills are needed. These can be formulated in objective assessmen…

review 2022
Medical image analysis ·doi:10.1016/j.media.2021.102306

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 new research field that aims to improve the quality of inter…

other 2018
IEEE transactions on bio-medical engineering ·doi:10.1109/tbme.2018.2870542

UNLABELLED: Robotic minimal invasive surgery is gaining acceptance in surgical care. In contrast with the appreciated three-dimensional vision and enhanced dexterity, haptic feedback is not offered. For this reason, robotics is not consider…

other 2014
Biomedical optics express ·doi:10.1364/boe.5.004108

Polarisation imaging has the potential to provide enhanced contrast based on variations in the optical properties, such as scattering or birefringence, of the tissue of interest. Examining the signal at different wavebands in the visible sp…