Objective and Subjective Outcomes Following Radiofrequency of Inferior Turbinates in Patients with Sleep-Disordered Breathing.

Background: Nasal obstruction is a frequent problem amongst patients with sleep-disordered breathing (SDB). Radiofrequency of the inferior turbinates (RFIT) is commonly utilized for inferior turbinate (IT) reduction but its effectiveness in SDB patients remains unproven. We aim to evaluate long-term objective and subjective nasal, olfactory and sleep outcomes following RFIT in SDB patients.

"I didn't come here for your judgement" alongside "they understand you and encourage you": Exploring the narratives of young black and mixed-race LGBTQ+ people who have a physical health condition and their experiences within physical health services.

Lesbian, gay, bisexual, transgender, and queer or questioning (LGBTQ+) individuals experience health inequalities. Young people living with a health condition are also more likely to experience adverse mental health outcomes. Developing positive identity can help to mitigate the impact of this.

Association between homocysteine and coronary artery disease-trend over time and across the regions: a systematic review and meta-analysis.

Background: The association of homocysteine with coronary artery disease (CAD) has been explored previously with mixed findings. The present Systematic Review and Meta-Analysis (SRMA) has assessed the pooled estimate of association between homocysteine (Hcy) and CAD, and its variation over the period and geography.

Methods: Systematic literature search was done in PubMed, Scopus and Cochrane to identify the observational studies that have reported mean Hcy among cases (CAD) and control.

Dietary Practices Among Type 2 Diabetes Patients Visiting a Non-communicable Disease (NCD) Clinic in a District of Western India: A Cross-Sectional Study.

Background And Aims: Diabetes is becoming a major public health problem in the country. One of the most important lifestyle modifications necessary for diabetic patients is maintaining healthy dietary choices. These modifications in dietary practices are supposed to be followed lifelong, along with medication, for better glycemic control.

Enhancing paranasal sinus disease detection with AutoML: efficient AI development and evaluation via magnetic resonance imaging.

Purpose: Artificial intelligence (AI) in the form of automated machine learning (AutoML) offers a new potential breakthrough to overcome the barrier of entry for non-technically trained physicians. A Clinical Decision Support System (CDSS) for screening purposes using AutoML could be beneficial to ease the clinical burden in the radiological workflow for paranasal sinus diseases.

Methods: The main target of this work was the usage of automated evaluation of model performance and the feasibility of the Vertex AI image classification model on the Google Cloud AutoML platform to be trained to automatically classify the presence or absence of sinonasal disease.