Rationale and Objectives The automated segmentation of organs and tissues throughout the
body using computed tomography and magnetic resonance imaging has been rapidly …

Medical decision-making is increasingly based on quantifiable data. From the moment
patients come into contact with the health care system, their entire medical history is …

Robotics applications in facial plastic surgery has been practical and observed to have
benefits. For instance, minimal invasiveness, small number of incisions, less blood loss …

Current computational tools for planning and simulation in plastic and reconstructive surgery
lack sufficient precision and are time-consuming, thus resulting in limited adoption. Although …

Background: Artificial intelligence (AI) in healthcare delivery has become an important area
of research due to the rapid progression of technology, which has allowed the growth of …

Introduction Machine learning (ML) corresponds to a wide variety of methods that use
mathematics, statistics and computational science to learn from multiple variables …

Craniosynostosis must often be corrected using surgery, by which the affected bone tissue is
remodeled. Nowadays, surgical reconstruction relies mostly on the subjective judgement of …

Background: Artificial intelligence (AI) is presently employed in several medical specialties,
particularly those that rely on large quantities of standardized data. The integration of AI in …

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 …

Background: Advances in deep learning (DL) have been transformative in computer vision
and natural language processing, as well as in healthcare. The authors present a novel …