Up versus down: Does cuff spine orientation affect early adherence to upper airway stimulation?

Purpose: Upper airway stimulation (UAS) is a treatment option for moderate-to-severe OSA, in which electrical stimulation is applied to the hypoglossal nerve via an electrode cuff. In this study, we assess the effect of electrode cuff positioning on UAS outcomes, in particular device adherence.

Methods: Patients at a single academic institution who met the Food and Drug Administration criteria for UAS between 2016 and 2021 were included.

Assessing the Reporting Quality of Machine Learning Algorithms in Head and Neck Oncology.

Objective: This study aimed to assess reporting quality of machine learning (ML) algorithms in the head and neck oncology literature using the TRIPOD-AI criteria.

Data Sources: A comprehensive search was conducted using PubMed, Scopus, Embase, and Cochrane Database of Systematic Reviews, incorporating search terms related to "artificial intelligence," "machine learning," "deep learning," "neural network," and various head and neck neoplasms.

Review Methods: Two independent reviewers analyzed each published study for adherence to the 65-point TRIPOD-AI criteria.

Inequities Associated With Advanced Stage at Presentation of Head and Neck Cancer: A Systematic Review.

Importance: Social determinants of health (SDoH) are defined by a wide range of factors (eg, built environment, economic stability, education level, discrimination, racism, access to health care). Advanced stage at presentation or delayed diagnosis heavily influences health outcomes in patients with head and neck cancer (HNC). While the drivers of advanced-stage presentation come from a multitude of sources, SDoH plays an outsized role.

Predicting Therapeutic Response to Hypoglossal Nerve Stimulation Using Deep Learning.

Objectives: To develop and validate machine learning (ML) and deep learning (DL) models using drug-induced sleep endoscopy (DISE) images to predict the therapeutic efficacy of hypoglossal nerve stimulator (HGNS) implantation.

Methods: Patients who underwent DISE and subsequent HGNS implantation at a tertiary care referral center were included. Six DL models and five ML algorithms were trained on images from the base of tongue (BOT) and velopharynx (VP) from patients classified as responders or non-responders as defined by Sher's criteria (50% reduction in apnea-hypopnea index (AHI) and AHI < 15 events/h).

Novel tubing connectors reduce ECMO circuit thrombosis.

Background: Thrombosis within extracorporeal membrane oxygenation (ECMO) circuits is a common complication that dominates clinical management of patients receiving mechanical circulatory support. Prior studies have identified that over 80% of circuit thrombosis can be attributed to tubing-connector junctions.

Methods: A novel connector was designed that reduces local regions of flow stagnation at the tubing-connector junction to eliminate a primary source of ECMO circuit thrombi.