Microsurgical techniques have been widely utilized in various surgical specialties, such as
ophthalmology, neurosurgery, and otolaryngology, which require intricate and precise …

The recent advancements in the surging field of Deep Learning (DL) have revolutionized
every sphere of life, and the healthcare domain is no exception. The enormous success of …

The emergence of robotics could enable ophthalmic microsurgical procedures that were
previously not feasible due to the precision limits of manual delivery, for example, targeted …

Topic Despite significant recent advances in artificial intelligence (AI) technology within
several ophthalmic subspecialties, AI seems to be underutilized in the diagnosis and …

Retinal surgery is known to be a complicated and challenging task for an ophthalmologist
even for retina specialists. Image guided robot-assisted intervention is among the novel and …

Subretinal injection is a complicated task for retinal surgeons to operate manually. In this
paper we demonstrate a robust framework for needle detection and localisation in robot …

Advancements in robot-assisted surgery have been rapidly growing since two decades ago.
More recently, the automation of robotic surgical tasks has become the focus of research. In …

Purpose: To evaluate the diagnostic performance of a robotically aligned optical coherence
tomography (RAOCT) system coupled with a deep learning model in detecting referable …

The purpose of this study is to compare robot-assisted and manual subretinal injections in
terms of successful subretinal blistering, reflux incidences and damage of the retinal pigment …

The development and integration of intraoperative optical coherence tomography (iOCT)
into modern operating rooms has motivated novel procedures directed at improving the …