Convolutional Neural Network-Based Deep Learning Engine for Mastoidectomy Instrument Recognition and Movement Tracking.

Objective: To develop a convolutional neural network-based computer vision model to recognize and track 2 mastoidectomy surgical instruments-the drill and the suction-irrigator-from intraoperative video recordings of mastoidectomies.

Study Design: Technological development and model validation.

Setting: Academic center.

The placebo effect in randomized-controlled trials of medical treatments for chronic rhinosinusitis: A systematic review and meta-analysis.

Background: The placebo effect observed in clinical trials evaluating medical treatments for chronic rhinosinusitis (CRS) is not well understood. This systematic review and meta-analysis sought to characterize the placebo effect present within CRS outcomes.

Methods: A systematic review of PubMed, Scopus, and Cumulated Index in Nursing and Allied Health Nursing (CINAHL) was performed.

Video Analysis of Otologic Instrument Movement During Resident Mastoidectomies.

Objective: To measure surgical instrument movement during resident mastoidectomies and identify metrics that correlate with experience.

Study Design: Retrospective case series.

Setting: Tertiary care center.

Systematic Review of Surgical Interventions for Inferior Turbinate Hypertrophy.

Background: Various surgical interventions exist for treatment of inferior turbinate hypertrophy (ITH). Though mucosal-sparing techniques are generally preferred, there is lack of consensus on the optimal technique.

Objective: This systematic review sought to evaluate the evidence for treatment of bilateral nasal obstruction via inferior turbinate reduction (ITR) and provide a meta-analysis of expected results of various techniques.