Introduction and purpose. Due to the outbreak of Covid-19 pandemic polish government in March 2020 decided to directs students to remote learning. This condition last -with minor exceptions- one and half year.Material and method. The aim of the study was an evaluation of public experience and attitude towards online learning.Results. All the respondents between March and May 2020 learned via online devices. The average note for e-learning was 2,99 in a 5-grade scale, while a score for stationary learning was 3,84. Students motivation, engagement and stress level decreased during remote-learning. 43% students claimed, that their marks improved during that time. The main disadvantages of online school were too much time spent in front of the screen and monotony of the lessons. Among the advantages was for example time for additional hobbies. Realisation of practical activities was more difficult or impossible for 74,9% of the respondents. Almost one quarter of the people did not have adequate home conditions to study online. Practical activities were often difficult or impossible to realise.Conclusions. Online learning was a necessity during the pandemic, however this type or gaining knowledge has both advantages and disadvantages. It influenced not only scientific issues, but also students’ motivation and sociopsychological aspects. To conclude, twice as many students prefer stationary than online learning – respectively 39,7% vs 21,1%.
Introduction and purpose: The purpose of this study is to review literature about alterations to treatment regimens to lung cancer during COVID-19 pandemic accessible on PubMed platform. In pulmonary neoplasms, early diagnosis and treatment is a key to ensure patient safety. Burdening of healthcare systems during pandemic has resulted in many obstacles in oncologic treatment. A brief description of the state of knowledge: The lung cancer is the most frequent and the most deadly cancer in men and women. COVID-19 is a pulmonary infectious disease whose spread around the world has resulted in a pandemic. At the onset of the worldwide pandemic, many institutions, including healthcare facilities were closed, making it more difficult to provide oncological patients the treatment compliant with the standards. The anxiety of patients caused by the pandemic has caused delays in treatment that can cause progression of the disease. In patients with lung cancer mortality of COVID-19 was around 50%, which made their visits at hospital hazardous. Before the accessibility of anti-COVID-19 vaccines telemedical healthcare was one of the ways to provide healthcare to oncological patients. Conclusions: Patients with lung cancer are one of the risk groups of COVID-19. Delays in their treatment caused by the pandemic are potentially dangerous and negatively affect the therapy. Telemedicine is a useful too provide medical care, but has its own limitations.
Introduction and purposeArtificial intelligence (AI) is more advanced than ever and finds more and more new applications. Attempts are being made to use computer data analysis in medicine. The aim of this study is to summarize the knowledge on the use of AI in the diagnosis of breast, prostate, skin and colorectal cancer with particular emphasis on the applications and effectiveness of AI in making diagnoses. A brief description of the state of knowledgeThe most frequently used form of artificial intelligence in diagnostics are algorithms that analyze databases and recognize patterns. They can capture the features of samples characteristic of tumors, such as abnormal cells in the biopsy material or the alarming size and color of the skin lesion. Additionally, AI is capable of analyzing magnetic resonance images, radiographs, and other standardized test results. In most cases, AI is more effective than clinicians, sometimes as effective as they are, and almost never less effective. As a rule, the most accurate and adequate diagnosis can be obtained by joining the forces of AI and medical specialists. Working with learning algorithms requires the use of very extensive data sets. Every effort should be made to protect sensitive information from patients' medical history. ConclusionsThe results of research on the effectiveness of AI in cancer diagnostics are very promising. Further research and development of information technology systems may positively affect the quality and effectiveness of tumor diagnostics.
Introduction and purpose: Gastric cancer (GC) is one of the most frequent malignancies around the world. There were nearly 1 million new cases in 2018. Gastric malignancies have heterogeneous etiopathogenesis. Lifestyle, socioeconomic status, blood group A, medical condition, Helicobacter Pylori infection, family history, genetic polymorphism, diet, demographic characteristics, occupational exposure, ionizing radiation are considered as predisposing factors.Objective: The purpose of our study is to review a currently available data on PubMed about risk factors of gastric cancer to consider better understanding of gastric cancer etiology.A brief description of the state of knowledge: Current studies suggest that red meat, pickled vegetable or alcohol consumption, low socioeconomic status, cigarette smoking, blood group A and Helicobacter Pylori infection increase risk of GC. Decreased risk of gastric cancer is observed in case of white meat consumption, statin and non-steroidal anti-inflammatory drugs intake. It seems that family history and other genetic predispositions may have a crucial role in gastric cancer development.Conclusions: Variety of environmental, genetic and medical factors are considered with an increased risk of gastric cancer. The awareness of its existence facilitates pathogenesis of gastric malignancies and enables the implementation of proper diagnostic procedures, screening programs and prophylaxis.
(1) Background: Myopia is one of the leading causes of visual impairment. Visual work and usage of electronic devices are known risk factors of myopia. Many education systems were forced to apply online and hybrid teaching methods, to reduce the number of new cases of COVID-19. Medical students are a population well-known for intense visual work in the form of learning; (2) Methods: Visual acuity and refractive error were measured in the population of medical students. Participants also filled out the survey that included their population characteristic and their habits related to the hygiene of vision; (3) Results: We found a correlation between the age of the first diagnosis of myopia and current values of refractive error. The majority of participants believe that the COVID-19 pandemic had an impact on the health of their vision. Among methods of studying, usage of the computer screen was less preferred by myopic students; (4) Conclusions: In the population of medical school students in Eastern Poland, visual acuity was lower than 1.0 in 232 (52.97%) in the right eye and 234 (53.42%) in the left eye. Early recognition of refractive error has influenced its current values. Among methods of studying, usage of the computer screen was less preferred by myopic students. More population-based studies should focus on the impact of the COVID-19 pandemic on the health of vision.
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