1,720,954 research outputs found
A cross-sectional study on attitude and understanding of artificial intelligence and its use in medical education among medical students in a tertiary care teaching hospital
Background: Artificial intelligence (AI) has the potential to revolutionize medical education by enhancing diagnostic accuracy, improving decision-making and streamlining healthcare delivery. Aims and objectives of the study were to assess the attitude towards the use of AI in medical education and to evaluate the level of understanding of AI concepts among medical students along with identification of factors influencing their attitudes and understanding of AI.
Methods: A cross-sectional study was undertaken at a tertiary care teaching hospital after taking institutional ethics committee (IEC) approval. A total of 250 medical students from various academic years were included in the study. A self-made structured questionnaire was administered to collect data on student’s demographic characteristics, attitudes towards AI, understanding of AI concepts and their readiness to integrate AI into their future practice. Data were later analyzed using appropriate statistical tests.
Results: Majority of students were aware of AI. Most students acknowledged AI’s potential to enhance medical learning, particularly in diagnostics (76%) and nearly half (45%) of students expressed concerns about AI replacing human judgment in clinical decision-making. Moreover, the study found a significant gap in formal education on AI with majority of students stating that AI was not adequately addressed in their curriculum.
Conclusions: While medical students recognize the transformative potential of AI in healthcare, there is a clear need for enhanced AI education within medical curricula. So, this study highlights the importance of integrating AI-related content into medical education to prepare students for the evolving landscape of healthcare
Frequency and management of non pain symptoms, in cancer patients receiving palliative care: a prospective, observational and cross-sectional study in a tertiary care institute
Background: Cancer is the second most common cause of death caused by non-communicable diseases around the world, causing serious stress in both patients and caregivers including physical, psychological, social, and economic problems. Advanced cancer patients often experience a range of debilitating non-pain symptoms that significantly impact their quality of life. These symptoms can be due to the disease itself or the side effects of treatment. Effective management of these symptoms is crucial for palliative care (PC). The main aim of this study was to identify the frequency and management strategies of common non-pain symptoms in patients with cancer admitted to the oncology ward and inpatient PC patients, receiving PC.
Methods: A prospective, observational study was conducted involving 100 patients, admitted to the oncology ward and inpatient PC patients, receiving PC. Structured interviews and questionnaires were used to collect data on non-pain symptoms experienced. The frequency of symptoms was analyzed using specific statistical methods and the effectiveness of various management approaches was evaluated.
Results: The majority of the admitted patients were poly-symptomatic. The two most prevalent non-pain symptoms reported were lack of appetite (52%) and fatigue (51%) followed by nausea and vomiting, insomnia, constipation, shortness of breath, and anxiety. Ondansetron is the most common antiemetic and hydrocortisone is the most common steroid prescribed in the study population.
Conclusions: In the findings of our survey significant prevalence of non-pain symptoms among cancer patients was seen, with fairly controlled symptoms after the management. This emphasizes the need for a comprehensive assessment of symptoms and routine monitoring of symptom management strategies in cancer patients
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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