Artificial intelligence has been advancing in fields including anesthesiology. This scoping
review of the intersection of artificial intelligence and anesthesia research identified and …

Data mining is a powerful method to extract knowledge from data. Raw data faces various
challenges that make traditional method improper for knowledge extraction. Data mining is …

This paper studies the problem of scheduling elective surgery patients in the orthopedic
surgery division of Habib Bourguiba hospital in Tunisia. Two types of resources are …

In HRM, among the challenges for HR professionals is to manage an organization's talents,
especially to ensure the right person for the right job at the right time. Human talent …

The purpose of this paper is to propose and compare several optimization methods for
elective surgery planning when operating room (OR) capacity is shared by elective and …

This paper investigated an operating theater allocation problem with uncertain surgery
duration and emergency demand. Under the consideration of surgery cancellation, a …

Background With the gargantuan volume of data captured during surgeries and procedures,
critical care, and pain management, the field of anesthesiology is uniquely suited to the …

BACKGROUND: Operating room (OR) whiteboards (status displays) communicate times
remaining for ongoing cases to perioperative stakeholders (eg, postanesthesia care unit …

BACKGROUND: Tardiness from scheduled start times in a surgical suite is a common
source of frustration for both operating room personnel and patients. METHODS: Data from …

This paper presents the framework for forecasting the surgery time by taking into account the
surgical environment in an ophthalmology department (experience of surgeon in years …