The machine learning (ML) paradigm has gained much popularity today. Its algorithmic
models are employed in every field, such as natural language processing, pattern …

There is increased interest related to the impact of coronavirus disease 19 (COVID-19) on
the endocrine system and in particular on the pituitary gland. Over the course of the severe …

Background The utilization of artificial intelligence and machine learning as diagnostic and
predictive tools in perioperative medicine holds great promise. Indeed, many studies have …

Artificial intelligence (AI) is rapidly emerging in healthcare, yet applications in surgery
remain relatively nascent. Here we review the integration of AI in the field of surgery …

Aim Ambulatory laparoscopic colectomy (ALC), meaning discharge within 24 h of surgical
colonic resection, has recently been proposed in a few, selected patients. This systematic …

Primary care has the potential to be transformed by artificial intelligence (AI) and, in
particular, machine learning (ML). This review summarizes the potential of ML and its …

The COVID-19 pandemic has dramatically affected societies and healthcare systems around
the globe. The perioperative care continuum has also been under significant strain due to …

Purpose For some surgical conditionns and scientific questions, the “real world”
effectiveness of surgical patient care may be better explored using a multi-institutional time …

OBJECTIVES The outcomes of emergency general surgery (EGS) patients with concomitant
COVID-19 infection remain unknown. With a multicenter study in 361 hospitals from 52 …

Background Machine learning is a set of models and methods that can automatically detect
patterns in vast amounts of data, extract information, and use it to perform decision-making …