The field of anesthesia has always been at the forefront of innovation and technology, and
the integration of Artificial Intelligence (AI) represents the next frontier in anesthesia care …

Background Machine learning has been increasingly used for surgical outcome prediction,
yet applications in head and neck reconstruction are not well-described. In this study, we …

In recent years, machine learning (ML) has become a buzzword in the field of medical
research, and its applications in surgery are rapidly expanding [1, 2]. With the development …

Telesurgery, a cutting-edge field at the intersection of medicine and technology, holds
immense promise for enhancing surgical capabilities, extending medical care, and …

Patient-reported outcomes (PROs) enable providers to identify differences in treatment
effectiveness, postoperative recovery, quality of life, and patient satisfaction. By allowing a …

Understanding and anticipating intraoperative events and actions is critical for intraoperative
assistance and decision-making during minimally invasive surgery. Automated prediction of …

Background The lifelong care of patients with congenital heart disease (CHD) typically
begins at a young age, giving paediatric cardiologists a unique perspective on the mental …

This research investigates the impact of digital transformation technologies, including
artificial intelligence (AI), Internet of Things (IoT), and big data, on operational decision …

The purpose of this review is to provide a comprehensive review of publications related to
artificial intelligence (AI) applications in healthcare for the year 2022. Both the quantity and …