Identifying the critical view of safety (CVS) and other safe anatomic landmarks during laparoscopic cholecystectomy (LC) is the cornerstone for avoiding bile duct injuries (BDI). Artificial intelligence (AI), which has infiltrated in the operating ro...
Clinical risk prediction models are ubiquitous in many surgical domains. The traditional approach to develop these models involves the use of regression analysis. Machine learning algorithms are gaining in popularity as an alternative approach for pr...
Various surgical approaches and pedicles have been described to ensure safe and satisfactory results in reduction mammaplasty. Although different breasts require different techniques, complications are common. This study aims to assess the incidence ...
The virtual reality (VR) is an application in which people can interact each other with their own avatars. Metaverse has already been tested in numerous medical fields and health care as telemedicine, second opinion and remote discussion, but in surg...
Minimally invasive surgery is safe and effective in colorectal cancer. Conversion to open surgery may be associated with adverse effects on treatment outcomes. This study aimed to assess risk factors of conversion from minimally invasive to open cole...
Artificial Intelligence (AI) is playing an increasing role in several fields of medicine. AI is also used during laparoscopic cholecystectomy (LC) surgeries. In the literature, there is no review that groups together the various fields of application...
Fluorescence imaging is a real-time intraoperative navigation modality to enhance surgical vision and it can guide emergency surgeons while performing difficult, high-risk surgical procedures. The aim of this study is to assess current knowledge, att...
BACKGROUND: Current evidence about intraoperative anastomotic testing after left-sided colorectal resections is still controversial. The aim of this study was to analyze the impact of Indocyanine Green fluorescent angiography (ICG-FA) and air-leak te...
Artificial intelligence is transforming healthcare. Artificial intelligence can improve patient care by analyzing large amounts of data to help make more informed decisions regarding treatments and enhance medical research through analyzing and inter...
Thyroid surgery is characterized by large volumes and typically affects a young female population. Mini-invasive or remote access surgical techniques are born driven by the desire to improve aesthetic outcomes of the traditional technique, following ...