Aim: Artificial intelligence (AI) is rapidly evolving in healthcare worldwide, especially in
surgery. This article reviews important terms used in machine learning and the challenges of …

A narrative review was conducted of machine learning applications and research in the field
of stroke rehabilitation. The machine learning models commonly used in medical research …

Objective: To reach global expert consensus on the definition of TOLS in minimally invasive
and open liver resection among renowned international expert liver surgeons using a …

This research seeks to comprehend the implementation of Scout extracurricular activities in
sha** social awareness in the era of globalization. Employing a qualitative descriptive …

Various scientific fields have abruptly shifted in the direction of data-dependent
methodologies in recent years. In some instances, concurrent improvements in data …

Background Machine learning and robotics technologies are increasingly being used in the
healthcare domain to improve the quality and efficiency of surgeries and to address …

Computer vision has emerged as a promising technology with numerous applications in
healthcare. This systematic review provides an overview of advancements and challenges …

Purpose Open inguinal hernia repair in children with bladder exstrophy is challenging and
associated with a high recurrence rate (15%–22%). We report our initial experience with …

When we were first asked to edit a new journal, it was initially going to be called Intelligent
Surgery. We were immensely flattered and surprised, but then became intrigued and asked …

An enhanced active reinforcement learning technique has been proposed to enable
autonomous robots to operate and execute tasks in industrial automation. This approach …