Current State of Evidence-Based Long-Term Monitoring Protocols for Breast Plastic Surgery Patients.

Background: Recommendations for breast surveillance following breast plastic surgery are frequently changing. Establishing guidelines for long-term monitoring protocols may help identify treatable conditions and prevent untoward sequelae. We sought to evaluate the current state of evidence-based long-term monitoring protocols for patients following breast augmentation, reduction, and breast reconstruction.

Maximizing Mentorship Throughout Your Breast Imaging Career.

Unlike many other subspecialties in radiology, breast radiologists practice in a patient-facing and interdisciplinary environment where team building, communication, and leadership skills are critical. Although breast radiologists can improve these skills over time, strong mentorship can accelerate this process, leading to a more successful and satisfying career. In addition to providing advice, insight, feedback, and encouragement to mentees, mentors help advance the field of breast radiology by contributing to the development of the next generation of leaders.

Natural Language Processing for Imaging Protocol Assignment: Machine Learning for Multiclass Classification of Abdominal CT Protocols Using Indication Text Data.

A correct protocol assignment is critical to high-quality imaging examinations, and its automation can be amenable to natural language processing (NLP). Assigning protocols for abdominal imaging CT scans is particularly challenging given the multiple organ specific indications and parameters. We compared conventional machine learning, deep learning, and automated machine learning builder workflows for this multiclass text classification task.

Accuracy and Reproducibility of Linear and Angular Measurements in Virtual Reality: a Validation Study.

The purpose of this experimental study is to validate linear and angular measurements acquired in a virtual reality (VR) environment via a comparison with the physical measurements. The hypotheses tested are as follows: VR linear and angular measurements (1) are equivalent to the corresponding physical measurements and (2) achieve a high degree of reproducibility. Both virtual and physical measurements were performed by two raters in four different sessions.

Applications of Augmented Reality in Otolaryngology: A Systematic Review.

Objective: Augmented reality (AR) is a rapidly developing technology. The aim of this systematic review was to (1) identify and evaluate applications of AR in otolaryngology and (2) examine trends in publication over time.

Data Sources: PubMed and EMBASE.