Artificial intelligence in plastic surgery, where do we stand?

Since the pandemic, artificial intelligence (AI) has been integrated into several fields and everyday life as well. Healthcare is not an exception. Plastic surgery is a key focus area of this technological revolution, with hundreds of studies and reviews already published on the use of AI in plastics.

A systematic review of prehabilitation programs in abdominal cancer surgery.

Introduction: Prehabilitation programs aim to optimise patients in order to enhance post-operative recovery. This study aims to review the composition of prehabilitation programs for patients undergoing major abdominal cancer surgery and define the outcome measures that are used to evaluate this intervention.

Methods: A systematic literature review of all comparative studies on prehabilitation versus standard care in patients undergoing abdominal cancer surgery was performed in accordance with PRISMA guidelines.

Combined Monte Carlo and finite-difference time-domain modeling for biophotonic analysis: implications on reflectance-based diagnosis of epithelial precancer.

Monte Carlo (MC) modeling of photon transport in tissues is generally performed using simplified functions that only approximate the angular scattering properties of tissue constituents. However, such approximations may not be sufficient for fully characterizing tissue scatterers such as cells. Finite-difference time-domain (FDTD) modeling provides a flexible approach to compute realistic tissue phase functions that describe probability of scattering at different angles.