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.

Cutaneous Squamous Cell Carcinoma of the Head and Neck: Pathological Features and What They Mean for Prognosis and Treatment.

Cutaneous squamous cell carcinoma (cSCC) is one of the most common cancers worldwide, with an incidence that has increased over the past 30 years. Although usually curable with excision, cSCC can become widely metastatic and aggressive with poor outcomes. Whereas the clinical and radiographic extent of any cancer will always guide selection of treatment modality, pathological features of cSCC also play an important role in determining prognosis and, subsequently, the need for further therapy.

Sinonasal NUT carcinoma: A consecutive case series and systematic review.

Background: Sinonasal NUT carcinoma is an extremely rare, lethal malignancy with limited literature.

Methods: A case series was conduction of all patients with sinonasal NUT carcinoma at a single institution between 2010 and 2022. Survival and associated were evaluated.

Non-Melanoma Skin Cancer Detection in the Age of Advanced Technology: A Review.

Skin cancer is the most common cancer diagnosis in the United States, with approximately one in five Americans expected to be diagnosed within their lifetime. Non-melanoma skin cancer is the most prevalent type of skin cancer, and as cases rise globally, physicians need reliable tools for early detection. Artificial intelligence has gained substantial interest as a decision support tool in medicine, particularly in image analysis, where deep learning has proven to be an effective tool.