Exploring Faculty Preparedness for Artificial Intelligence-Driven Dental Education: A Multicentre Study.

Introduction In the modern era, technology, including artificial intelligence (AI), is the centre of digital innovation. AI is revolutionising numerous fields, including the healthcare sector, globally. Incorporating AI in dental education may help in improving the diagnostic accuracy, learners' experiences, and effectiveness of the management of dental education institutions.

Risk Stratification of Acute-Onset Chest Pain: SVEAT Score Versus HEART and TIMI Scores.

Introduction Acute chest pain is a frequently encountered symptom in the emergency department. Despite the availability of various chest pain risk scores, their effectiveness in identifying low-risk patients suitable for safe and early discharge is inadequate. Moreover, clinical data collected at the initial stage, which has valuable discriminatory ability, is often underutilized.

Examine the parenting style effect on the academic achievement orientation of secondary school students: The moderating role of digital literacy.

The purpose of the study was to determine the association between parenting styles (authoritative and permissive) and students' self-efficacy (LSE), self-regulatory learning (SRL), and academic accomplishment orientation of secondary school students in Punjab, Pakistan. The study also investigated the effect of digital learning as a moderating variable in the relationship between SRL and academic achievement oriented, as well as between learner self-efficacy (LSE) and academic achievement among secondary school students. The study was conducted with ( = 720) secondary school students of Punjab Pakistan.

Neutrophil-to-Lymphocyte Ratio and Absolute Lymphocyte Count as Early Diagnostic Tools for Corona Virus Disease 2019.

Background and objectives In comparison to real-time polymerase chain reaction (RT-PCR) testing, blood-related parameters including absolute lymphocyte count (ALC) and neutrophil-to-lymphocyte ratio (NLR) carry an indeterminate potential in the assessment of corona virus disease 2019 (COVID-19). Our main objective was to assess their efficacy in timely identification of COVID-19 patients and to determine whether these biomarkers can be employed as an early diagnostic tool in patients presenting with symptoms suggestive of COVID-19. Methodology This cross-sectional study was conducted at the Emergency Department of a Tertiary Care Hospital in Rawalpindi, Pakistan from November 2020 to March 2021.

Prevalence of Axonal Sensory Neuropathy With IgM Binding to Trisulfated Heparin Disaccharide in Patients With Fibromyalgia.

Objective: To assess the intraepidermal nerve fiber density in patients diagnosed with fibromyalgia (FM) and to evaluate the role of IgM binding to trisulfated heparin disaccharide (TS-HDS) in these patients.

Methods: FM is a poorly understood pain disorder with several proposed pathophysiologic mechanisms. It is characterized by widespread pain, fatigue, and sleep abnormalities.

Idiopathic Inflammatory Myopathies: Clinical Approach and Management.

Idiopathic inflammatory myopathies (IIM) are a group of chronic, autoimmune conditions affecting primarily the proximal muscles. The most common types are dermatomyositis (DM), polymyositis (PM), necrotizing autoimmune myopathy (NAM), and sporadic inclusion body myositis (sIBM). Patients typically present with sub-acute to chronic onset of proximal weakness manifested by difficulty with rising from a chair, climbing stairs, lifting objects, and combing hair.