Diagnostic Yield and Complications of Ultrasound-Guided Trans-Thoracic Biopsies by Pulmonologists: A Single-Center Retrospective Study of Lesions with Pleural Contact.

Introduction: Ultrasound-guided trans-thoracic needle biopsy (US-TTNB) is a method of choice for the diagnostic management of peripheral lung lesions and pleural masses for pulmonologists. If complication risk factors and diagnostic yield have been well reported for CT-guided biopsies, publications for US-TTNB in this field are very scarce.

Methods: The primary objective of this study was to describe the diagnostic yield of US-TTNB carried out by pulmonologists defined by a definitive histopathological diagnosis.

The Two Fundamental Shapes of Sleep Heart Rate Dynamics and Their Connection to Mental Health in College Students.

Introduction: Wearable devices are rapidly improving our ability to observe health-related processes for extended durations in an unintrusive manner. In this study, we use wearable devices to understand how the shape of the heart rate curve during sleep relates to mental health.

Methods: As part of the Lived Experiences Measured Using Rings Study (LEMURS), we collected heart rate measurements using the Oura ring (Gen3) for over 25,000 sleep periods and self-reported mental health indicators from roughly 600 first-year university students in the USA during the fall semester of 2022.

Learning Gain During a Fast Self-driven Bronchoscopy Simulation Training: A Preliminary Study Comparing Low and High-fidelity Models.

Background: Nowadays, there is a growing need for competence in bronchoscopy. However, traditional mentorship-based training presents limitations in learning consistency, subjective evaluation, and patient safety concerns. Simulation-based training has gained attention for its potential to enhance skill acquisition and objective assessment.

Using Wearable Digital Devices to Screen Children for Mental Health Conditions: Ethical Promises and Challenges.

In response to a burgeoning pediatric mental health epidemic, recent guidelines have instructed pediatricians to regularly screen their patients for mental health disorders with consistency and standardization. Yet, gold-standard screening surveys to evaluate mental health problems in children typically rely solely on reports given by caregivers, who tend to unintentionally under-report, and in some cases over-report, child symptomology. Digital phenotype screening tools (DPSTs), currently being developed in research settings, may help overcome reporting bias by providing objective measures of physiology and behavior to supplement child mental health screening.