Medical, dental, and nursing students' attitudes and knowledge towards artificial intelligence: a systematic review and meta-analysis.

BACKGROUND: Nowadays, Artificial intelligence (AI) is one of the most popular topics that can be integrated into healthcare activities. Currently, AI is used in specialized fields such as radiology, pathology, and ophthalmology. Despite the advantages of AI, the fear of human labor being replaced by this technology makes some students reluctant to choose specific fields. This meta-analysis aims to investigate the knowledge and attitude of medical, dental, and nursing students and experts in this field about AI and its application. METHOD: This study was designed based on PRISMA guidelines. PubMed, Scopus, and Google Scholar databases were searched with relevant keywords. After study selection according to inclusion criteria, data of knowledge and attitude were extracted for meta-analysis. RESULT: Twenty-two studies included 8491 participants were included in this meta-analysis. The pooled analysis revealed a proportion of 0.44 (95%CI = [0.34, 0.54], P < 0.01, I2 = 98.95%) for knowledge. Moreover, the proportion of attitude was 0.65 (95%CI = [0.55, 0.75], P < 0.01, I2 = 99.47%). The studies did not show any publication bias with a symmetrical funnel plot. CONCLUSION: Average levels of knowledge indicate the necessity of including relevant educational programs in the student's academic curriculum. The positive attitude of students promises the acceptance of AI technology. However, dealing with ethics education in AI and the aspects of human-AI cooperation are discussed. Future longitudinal studies could follow students to provide more data to guide how AI can be incorporated into education.

Prognostic value of fragmented QRS in acute pulmonary embolism: a cross-sectional-analytic study of the Iranian population.

BACKGROUND: Acute Pulmonary embolism (APE) is considered one of the deadliest cardiovascular diseases. Electrocardiographic (ECG) abnormalities in pulmonary embolism (PE) are increasingly reported. A growing number of studies have recommended that ECG plays a crucial role in the prognostic assessment of PE patients. However, there is scarce data on the prognostic importance of fragmented QRS (fQRS) on outcomes in patients with APE. This study aims to investigate the prognostic value of fQRS in APE patients. MATERIALS AND METHODS: This is a cross-sectional-analytic study. This study included 280 patients diagnosed with APE admitted to Shahid Madani hospital, Tabriz, Iran. Computed tomography pulmonary angiography (CTPA) was used to diagnose APE. A checklist was prepared for all patients, demographic, clinical characteristics, and Major Adverse Cardiopulmonary events (MACPE), including in-hospital mortality, need for thrombolysis, mechanical ventilation, and surgical embolectomy, were recorded. Patients were divided into two groups: patients who manifested fQRS on their ECG and patients who did not; Then, demographic, clinical characteristics, and MACPE were compared in the two groups, as mentioned earlier. Furthermore, all statistical analyses were carried out using SPSS software. RESULTS: 48 patients (17.14%) had fQRS(+) on their ECG, and 232 patients (82.86%) did not have it on their ECG. In data analysis, 22 patients (8.7%) had in-hospital mortality, 35 patients (13.9%) needed thrombolysis, nine patients (3.9%) required mechanical ventilation, and 13 patients (5.1%) needed surgical embolectomy. fQRS was not significantly associated with in-hospital mortality (P = 0.225), need for thrombolysis (P = 0.684), mechanical ventilation (P = 1.000), and surgical embolectomy (P = 1.000). Demographic and clinical characteristics were also similar in both groups. CONCLUSIONS: This study does not support the idea that fQRS on ECG is a valuable predictor of in-hospital mortality, the need for thrombolysis, mechanical ventilation, and surgical embolectomy.

Selective serotonin reuptake inhibitors: New hope in the fight against COVID-19.

The emerging COVID-19 pandemic led to a dramatic increase in global mortality and morbidity rates. As in most infections, fatal complications of coronavirus affliction are triggered by an untrammeled host inflammatory response. Cytokine storms created by high levels of interleukin and other cytokines elucidate the pathology of severe COVID-19. In this respect, repurposing drugs that are already available and might exhibit anti-inflammatory effects have received significant attention. With the in vitro and clinical investigation of several studies on the effect of antidepressants on COVID-19 prognosis, previous data suggest that selective serotonin reuptake inhibitors (SSRIs) might be the new hope for the early treatment of severely afflicted patients. SSRIs' low cost and availability make them potentially eligible for COVID-19 repurposing. This review summarizes current achievements and literature about the connection between SSRIs administration and COVID-19 prognosis.