Willifordalbrektsen1212

The remaining eight articles were read to their entirety and included in the current qualitative review after fulfilling the eligibility criteria. In all the included studies, a total of 480 sound posterior teeth were used to evaluate the effect of ErYAG laser on debonding of orthodontic brackets from the enamel surface. Conclusions ErYAG laser debonding has demonstrated a reduced risk of enamel damage (fracture or cracks) but resulted in increased enamel surface roughness and was time-consuming for adhesive removal procedures compared with the conventional debonding methods. Further, within the applied laser settings, ErYAG lasers have found to exhibit low thermal exhaustion in relation to the pulp. The laser source with a wavelength of 2940 nm has been used with different setting ranges (power of 2.5-5 W, energy 125-600 mJ, frequency 4-30 Hz, and pulse duration 50-350 μsec) for debonding of orthodontic brackets.Introduction Antimicrobial resistance (AMR) is a multi-layered problem with a calamitous impact on humans, livestock, the environment, and the biosphere. Initiatives and action plan to preclude AMR remain poorly implemented in India.Area covered This review highlights essential factors contributing to AMR, epidemiology of the resistant bacteria, current treatment options, economic impact, and regulatory efforts initiated by the Indian government to tackle AMR.Expert opinion Health-care professionals, hospitals, and the general public must understand and cooperatively implement the 'One Health approach,' which entails judicious use of antibiotics in humans, animals, and the environment. Neglecting the AMR problem predicts the expansion of the 'Post-antibiotic era' characterized by drying antibiotic discovery pipelines, overuse of 'Watch' and 'Reserve' groups, coupled with underuse of 'Access' antibiotics, increased daily defined doses, increased healthcare cost, rise in morbidity, mortality, and environmental degradation. The Indian case study elucidates a looming international crisis that demands global attention and commitment for envisaging and implementing locally relevant solutions.The novel coronavirus disease (COVID-19) has spread over 219 countries of the globe as a pandemic, creating alarming impacts on health care, socioeconomic environments, and international relationships. selleck kinase inhibitor The principal objective of the study is to provide the current technological aspects of artificial intelligence (AI) and other relevant technologies and their implications for confronting COVID-19 and preventing the pandemic's dreadful effects. This article presents AI approaches that have significant contributions in the fields of health care, then highlights and categorizes their applications in confronting COVID-19, such as detection and diagnosis, data analysis and treatment procedures, research and drug development, social control and services, and the prediction of outbreaks. The study addresses the link between the technologies and the epidemics as well as the potential impacts of technology in health care with the introduction of machine learning and natural language processing tools. It is expected that this comprehensive study will support researchers in modeling health care systems and drive further studies in advanced technologies. Finally, we propose future directions in research and conclude that persuasive AI strategies, probabilistic models, and supervised learning are required to tackle future pandemic challenges.Background The use of technology in the medical field has been rising rapidly and offering, in many cases, an alternative to traditional ways of practicing medicine, especially when remote medical services are required. This background has laid the foundation for telemedicine to play a role in controlling the current coronavirus disease 2019 (COVID-19) pandemic. Telemedicine has the potential to allow the facilitation of providing the necessary medical care to patients without exposing them to contact with other patients or the general population. Objective The aim of this study was to investigate the utilization of telemedicine by the Lebanese physicians during the COVID-19 pandemic. Methods This cross-sectional online study was conducted using LimeSurvey® through an e-mail-based questionnaire sent to physicians currently enrolled in both Beirut and Tripoli Lebanese Order of Physicians. Results Four hundred one physicians completed the survey resulting in a response rate of 5.85%. Most of the respondents (N = 401, 75.8%) reported using telemedicine to provide health care services to patients without in-person visits during the pandemic. Among those using telemedicine (N = 304), around 40% reported that they started using it during COVID-19 pandemic. Discussion Literature states that the average time of an in-person clinic consultation is more than 15 min. This implies that telemedicine can play a role in saving physicians' time; this conclusion is supported by other studies that consider telemedicine a time-saving method of providing health care services. Conclusions Our study indicated that telemedicine is used by the majority of Lebanese physicians and that this use has been accelerated by the COVID-19 pandemic. Our results showed that telemedicine does have a potential that can allow it to be integrated in the health care system and implemented on a national organized level.Purpose To determine the magnitude, determinants, and public health issues related to diabetic retinopathy (DR) in India using 2019 data from a for-profit telescreening program. Methods Digital retinal images were captured using a nonmydriatic fundus camera and transferred via the telescreening program to a reading center. Ophthalmologists trained in DR image reading created the DR status reports. Age/sex-adjusted rates of DR, sight-threatening DR (STDR), and diabetic macular edema (DME) were calculated and correlated with known risk factors. Results Images of 51,760 Indian diabetic patients (103,520 eyes) were reviewed. The prevalence of DR, STDR, and DME was 19.1% (95% confidence interval [CI] 18.9-19.5), 5.1% (95% CI 4.9-5.3), and 3.9% (95% CI 3.7-4.1), respectively. Based on these data, we projected 14.7 million cases of DR, 3.9 million with STDR, and 3.0 million DME cases in India. Statistically significant risk factors for DR were male gender (odds ratio [OR] = 1.19, p less then 0.001), older age (χ2 = 270, df = 3, p less then 0.