Evaluation of acceptance, attitude, and knowledge towards artificial intelligence and its application from the point of view of physicians and nurses: A provincial survey study in Iran: A cross-sectional descriptive-analytical study.

Background and Aims: The prospect of using artificial intelligence (AI) in healthcare is bright and promising, and its use can have a significant impact on cost reduction and decrease the possibility of error and negligence among healthcare workers. This study aims to investigate the level of knowledge, attitude, and acceptance among Iranian physicians and nurses. Methods: This cross-sectional descriptive-analytical study was conducted in eight public university hospitals located in Tehran on 400 physicians and nurses. To conduct the study, convenient sampling was used with the help of researcher-made questionnaires. Statistical analysis was done by SPSS 21 The mean and standard deviation and Chi-square and Fisher's exact tests were used. Results: In this study, the level of knowledge among the research subjects was average (14.66 ± 4.53), the level of their attitude toward AI was relatively favorable (47.81 ± 6.74), and their level of acceptance of AI was average (103.19 ± 13.70). Moreover, from the participant's perspective, AI in medicine is most widely used in increasing the accuracy of diagnostic tests (86.5%), identifying drug interactions (82.75%), and helping to analyze medical tests and imaging (80%). There was a statistically significant relationship between the variable of acceptance of AI and the participant's level of education (p = 0.028), participation in an AI training course (p = 0.022), and the hospital department where they worked (p < 0.001). Conclusion: In this study, both the knowledge and the acceptance of the participants towards AI were proved to be at an average level and the attitude towards AI was relatively favorable, which is in contrast with the very rapid and inevitable expansion of AI. Although our participants were aware of the growing use of AI in medicine, they had a cautious attitude toward this.

The COVID-19 pandemic and obsessive-compulsive disorder: a systematic review of comparisons between males and females.

Coronavirus disease, one of the most disastrous epidemics, has caused a worldwide crisis, and the containment measures applied to decelerate the progression of the pandemic can increase the risk of obsessive-compulsive disorder (OCD). Identifying vulnerable groups in this area can lead us to better resource expenditure, and therefore, this systematic review aims to make a comparison between males and females to determine which of the two groups was most affected by the COVID-19 pandemic regarding OCD. Also, a meta-analysis was designed to investigate the prevalence of OCD during the COVID-19 pandemic. A comprehensive search was conducted among three databases (Medline, Scopus, Web of Science) until August 2021 which resulted in 197 articles, and 24 articles met our inclusion criteria. Overall, more than half of the articles stated the role of gender in OCD during the COVID-19 pandemic. Several articles emphasized the role of the female gender, and some others the role of the male gender. The meta-analysis revealed a 41.2% overall prevalence of OCD during the COVID pandemic and 47.1% and 39.1% OCD prevalence for female and male genders respectively. However, the difference between the two genders was not statistically significant. Generally, it seems that females are at greater risk of OCD during the COVID-19 pandemic. In the following groups, the female gender may have acted as a risk factor: under-18 years students, hospital staff, and the studies in the Middle East. In none of the categories, male gender was clearly identified as a risk factor.

The association between marital quality and diabetes mellitus: A systematic review.

Background and Aims: Marital relationship and its quality are among the major psychological factors affecting the multiple aspects of a person's health status. Chronic diseases are also among the factors that affect various aspects of the lives of millions of people including their marital quality status. One of the most important underlying chronic diseases is diabetes. Since the correlation between diabetes mellitus and marital quality has been neglected, this systematic review, as the first one, aims to investigate the association between marital quality and diabetes mellitus. Methods: A comprehensive search was conducted among three databases (Medline, Scopus, and Web of Science) until September 2021, which resulted in 189 articles. After assessing the studies based on the inclusion criteria, 14 studies were included. Results: The included studies were divided into two general groups. The first group consisted of 3 articles examining the effect of factors related to diabetes on marital quality, and the second group included 11 articles studying the effect of marital quality on diabetes and its factors. In general, the articles investigating the impact of diabetes-related factors on marital quality showed that diabetes has negative impacts on levels of marital quality. Also, the articles investigating the impact of marital quality on diabetes-related factors, showed that higher marital quality is associated with a lower risk of developing diabetes, a better quality of life in patients with diabetes, and better adherence to diabetes care regimen. The results regarding diabetes management were conflicting. Gender was mentioned as an important modulator in some of the investigated relationships. Conclusion: Marital quality remarkably influences diabetes-related factors and is itself affected by the condition resulting from diabetes in individuals with diabetes mellitus. However, further studies are required due to the limited number of studies investigating this correlation.

From kitchen to clinic: Pharmacotherapeutic potential of common spices in Indian cooking in age-related neurological disorders.

Aging is described as an advanced time-related collection of changes that may negatively affect with the risk of several diseases or death. Aging is a main factor of several age-related neurological disorders, including neurodegenerative diseases (Alzheimer's disease, Parkinson's disease, and dementia), stroke, neuroinflammation, neurotoxicity, brain tumors, oxidative stress, and reactive oxygen species (ROS). Currently available medications for age-related neurological disorders may lead to several side effects, such as headache, diarrhea, nausea, gastrointestinal (GI) diseases, dyskinesia, and hallucinosis. These days, studies on plant efficacy in traditional medicine are being conducted because herbal medicine is affordable, safe, and culturally acceptable and easily accessible. The Indian traditional medicine system called Ayurveda uses several herbs and medicinal plants to treat various disorders including neurological disorders. This review aims to summarize the data on the neuroprotective potential of the following common Indian spices widely used in Ayurveda: cumin (Cuminum cyminum (L.), Apiaceae), black cumin (Nigella sativa (L.), Ranunculaceae), black pepper (Piper nigrum (L.), Piperaceae), curry leaf tree (Murraya koenigii (L.), Spreng Rutaceae), fenugreek (Trigonella foenum-graecum (L.), Fabaceae), fennel (Foeniculum vulgare Mill, Apiaceae), cardamom (Elettaria cardamomum (L.) Maton, Zingiberaceae), cloves (Syzygium aromaticum (L.) Merr. & L.M.Perry, Myrtaceae), and coriander (Coriandrum sativum (L.), Apiaceae) in age-related neurological disorders.