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. However, successful implementation of AI requires the faculty's willingness to incorporate it into their practices. Thus, this research aims to explore the readiness of faculty members to integrate AI into dental education. Methodology The study employed a qualitative exploratory design to gather in-depth insights into faculty readiness for AI-driven dental education. Purposive sampling was employed, and 21 faculty members from public and private dental colleges in South Punjab participated in semi-structured interviews. The interviews focused on understanding participants' perceptions, experiences, and challenges related to AI integration in dental education. Thematic analysis was conducted utilising Braun and Clarke's framework to identify key themes and subthemes from the qualitative data using inductive coding. Results Five major themes and 14 subthemes emerged from the data analysis. Faculty members had low AI literacy coupled with diverse perceptions; some participants perceived AI as a solution for revolutionising teaching and learning, while others criticised its misuse as academic misconduct by students, an effect on students' critical thinking, and a threat to conventional jobs. However, most of the respondents also considered AI beneficial for students with remote access or from marginalised populations in terms of accessing and learning from limited resources. Concerns that participants highlighted included a lack of training opportunities, limited facilities, ethical concerns pertaining to data privacy, and assessment bias. Some of the recommendations provided by the respondents include the provision of training opportunities, the allocation of resources and infrastructure, and continuous effective support from institutions for the integration of AI in dental education. Conclusions This study emphasised the readiness of the faculty when it comes to the integration of AI in dental education. The faculty considered AI favourable for digitization and innovative education, although there is a lack of awareness of its application. Regarding the benefits of utilising AI, respondents highlighted its quick response, prediction of students' performance, and flexibility in learning. The challenges included lack of awareness regarding its implementation, inadequate training, lack of availability of resources, lack of institutional support, the problem of data confidentiality, and resistance to change. Suggestions included the provision of technical support, skills training, and the provision of required infrastructure. Participants recommended that AI tools must incorporate cultural and contextually specific content, use technical support for problems, and incorporate constant response systems to improve the AI tools for novice users, especially within developing regions such as Pakistan.

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. This study aims to assess the effectiveness of the Symptoms, history of Vascular disease, ECG, Age, and Troponin I (SVEAT) score in predicting major adverse cardiovascular events (MACE) in acute-onset chest pain, compared with the pre-existing History, ECG, Age, Risk factors, and Troponin I (HEART) and Thrombolysis In Myocardial Infarction (TIMI) scores. Methodology This prospective study utilizing non-probability convenience sampling was conducted in the emergency medicine department of a tertiary care hospital in Rawalpindi, Pakistan, for a period of five months from July 2022 to November 2022. The study included patients aged >45 years who presented primarily with chest pain lasting for at least five minutes but less than 24 hours and with a lack of acute ECG changes indicative of ST-elevation acute coronary syndrome (STE-ACS). Patients who were hemodynamically unstable were excluded. All patients were assessed for the calculation of SVEAT, TIMI, and HEART scores. All patients were followed for a period of 30 days to assess the incidence of MACE. Results A total of 60 patients were included. The mean age was 61.5±9.1 years while 31 (51.7%) patients were females. Diabetes was the most prevalent comorbidity (n=32; 53.3%). Regarding MACE, nine (15%) patients developed ACS and underwent percutaneous coronary intervention (PCI). Two patients (3.3%) experienced heart failure. Six (10%) patients also underwent PCI in the absence of ACS while two (3.3%) patients developed sudden cardiac death. Area-under-curve (AUC) values were determined for SVEAT (0.843; 95%CI: 0.74-0.94), TIMI (0.742; 95%CI: 0.62-0.86), and HEART scores (0.840; 95%CI: 0.74-0.94). A cut-off level of 3.5 SVEAT points obtained a sensitivity of 63.2% and specificity of 75.6% in predicting 30-day MACE. Conclusion SVEAT score potentially lacks the appropriate sensitivity level to predict a significant number of major adverse cardiovascular events compared to contemporary risk stratification scores. Therefore, the SVEAT criteria need re-evaluation as a screening tool for risk assessment in acute chest pain.

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. Patients suspected to have COVID-19 on a clinical basis (fever, cough or shortness of breath) were selected by using convenience non-probability sampling. RT-PCR was used to diagnose COVID-19 after evaluating NLR and ALC of the sample population. An NLR = 3.5 and ALC < 1 x 103 cells/mm3 was considered as the cut-off value. Statistical analysis was conducted via SPSS 23.0 (IBM Corp., Armonk, NY). Chi-square and independent t-tests were used to correlate various data variables, while p-value <0.05 was considered significant. Results Out of the 172 subjects included in the study, the mean age was 40.6 ± 10.0 years, while 51% of individuals were males. Fever was found to be the most prevalent complaint (94%). Double RT-PCR testing showed that 51.2% of the population was RT-PCR positive, having a mean ALC of 1.4 ± 0.9 x 103/mm3, significantly lower than RT-PCR negative cases (p < 0.001). In addition, NLR was drastically elevated for RT-PCR-positive individuals (p < 0.001) while it also had a distinctly high specificity of 91.7% among COVID-19 patients. Additionally, NLR did not correlate with any of the baseline patient-related parameters (presenting complaint, age, and gender). Conclusion NLR and ALC are potentially efficacious measures for an early diagnosis of COVID-19, and can be possibly utilized for an early diagnosis of COVID-19 suspects.

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 (N = 720) secondary school students of Punjab Pakistan. In the current research cross sectional design was used, and multistage sampling was used to draw a sample from the population. The results from the study, it is found that the authoritative parenting style has a weak association with LSE and a strong association with SRL. Permissive parenting styles have low associations with SRL and have a high association with LSE as compared to authoritarian parenting. Furthermore, when compared to students from permissive parenting, secondary students from authoritarian parenting have higher SRL and a higher academic achievement orientation. Results revealed that that digital literacy significantly moderate with LSE to influence the academic achievement orientation, while digital literacy significantly interacts with SRL to highly influence the academic achievement orientation of secondary school students.

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. Small fiber neuropathy (SFN) has been proposed as an underlying mechanism, and patients with FM have been shown to have a reduction in the intraepidermal nerve fiber density. An underlying inflammatory process that could be a result of autoimmune phenomena has also been suggested. Non-length-dependent SFN (NLDSFN) has been shown to have a higher incidence of autoimmune disease. Twenty-two patients with established diagnosis of FM underwent skin biopsy at 2 sites; 10 cm above the lateral malleolus and 10 cm above the patella. Serum IgM binding to TS-HDS was assayed using an ELISA method. RESULTS: A total of 5/22 patients had positive TS-HDS antibodies; of these, 4 had NLDSFN (P = 0.0393). Comparison with a control group at Washington University showed no significant difference in percentage with TS-HDS antibodies (P = 0.41). When compared with Washington University database of skin biopsy, there was a trend for an increased percentage of NLDSFN in patients with FM (P = 0.06). CONCLUSIONS: This study further supports the hypothesis that a subgroup of patients with FM has SFN. We suggest a correlation between the presence of NLDSFN and TS-HDS antibodies.

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. They are uniquely identified by their clinical presentation consisting of muscular and extramuscular manifestations. Laboratory investigations, including increased serum creatine kinase (CK) and myositis specific antibodies (MSA) may help in differentiating clinical phenotype and to confirm the diagnosis. However, muscle biopsy remains the gold standard for diagnosis. These disorders are potentially treatable with proper diagnosis and initiation of therapy. Goals of treatment are to eliminate inflammation, restore muscle performance, reduce morbidity, and improve quality of life. This review aims to provide a basic diagnostic approach to patients with suspected IIM, summarize current therapeutic strategies, and provide an insight into future prospective therapies.