The Evaluation and Modification of Standard Airway Assessment Tests for Virtual Anaesthetic Assessments: A Pilot Study.

Virtual preoperative anaesthetic assessments can significantly reduce healthcare costs and improve patient convenience. The challenge with virtual consults is often the airway assessments, which screen for potentially difficult airways (PDAs). The objective of this pilot study was to determine the reliability of standard airway screening tests for detecting PDAs when conducted virtually.

Utilizing machine learning to predict hospital admissions for pediatric COVID-19 patients (PrepCOVID-Machine).

The COVID-19 pandemic has burdened healthcare systems globally. To curb high hospital admission rates, only patients with genuine medical needs are admitted. However, machine learning (ML) models to predict COVID-19 hospitalization in Asian children are lacking.

Predicting vasovagal reactions to needles from video data using 2D-CNN with GRU and LSTM.

When undergoing or about to undergo a needle-related procedure, most people are not aware of the adverse emotional and physical reactions (so-called vasovagal reactions; VVR), that might occur. Thus, rather than relying on self-report measurements, we investigate whether we can predict VVR levels from the video sequence containing facial information measured during the blood donation. We filmed 287 blood donors throughout the blood donation procedure where we obtained 1945 videos for data analysis.

Recalcitrant Dermatomyositis Treated With Anifrolumab.

Dermatomyositis is an idiopathic inflammatory myopathy which can present with distinctive skin features. Despite the many treatment modalities for the treatment of dermatomyositis some patients remain refractory to treatment. We present a case of a 38-year-old man with recalcitrant dermatomyositis who was successfully treated with the interferon α receptor 1-inhibiting monoclonal antibody anifrolumab.

Rare regression of congenital brainstem high-grade glioma: case report and literature review.

Congenital infantile brainstem high-grade gliomas (HGGs) are extremely rare. Given the limited literature characterizing this disease, management of these tumors remains challenging. Brainstem HGGs are generally associated with extremely poor prognosis.