African health sciences
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African health sciences · Jun 2023
Using artificial intelligence on dermatology conditions in Uganda: a case for diversity in training data sets for machine learning.
In pursuit of applying universal non-biased Artificial Intelligence (AI) in healthcare, it is essential that data from different geographies are represented. ⋯ There is need for diversity of image datasets used to train dermatology algorithms for AI applications to increase accuracy across skin types and geographies.
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The inclusion of research in undergraduate medical curricula benefits students as well as the scientific community. Multiple studies report the presence of one or more barriers to research training in these curricula. ⋯ Participants from all three studies valued research and considered it useful and relevant to their studies. The findings from the South African and Sudanese studies align with the 'Four I's' framework that summarise the barriers to research training as lack of initiative, impulse, incentive and idols. The Ugandan study demonstrated improved self-reported knowledge and attitude (specifically anxiety) among participants after completion of a short course on research.
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African health sciences · Jun 2023
Randomized Controlled TrialEffect of whole course seamless nursing mode on patients with chronic infectious wounds.
Chronic infectious wounds seriously affect patients' quality of life. ⋯ For patients with chronic infectious wounds, whole course seamless nursing effectively relieves wound pain, facilitates wound healing, improves comfort, psychological state and sleep status, and makes them more satisfied.
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African health sciences · Jun 2023
Frequency of latent tuberculosis in patients receiving Anti-TNF-Alpha therapy.
In this study, it was aimed to reveal the incidence of tuberculosis development in patients receiving tumor necrosis factor-alpha (TNF-α) blocker therapy, despite tuberculosis chemoprophylaxis. ⋯ The incidence of tuberculosis development in patients treated with anti TNF-α was found to be higher than the general population. In our country, where tuberculosis is still prevalent, patients receiving Anti TNF-α treatment (especially infliximab) should be carefully questioned and examined about tuberculosis.
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African health sciences · Jun 2023
Pulmonary artery diameter and NT-proBNP in patients with Covid-19: Predicting prognosis and mortality.
The diverse and complex presentations of COVID-19 continue to impact the world. Factors related to prognosis and mortality are still not fully illuminated. ⋯ Accurate and effective interpretation of available radiological and laboratory data is essential to reveal the factors predicting prognosis and mortality in COVID-19. In this study,we evaluated that the thorax CTs and determined that the MPAD/AAD and NT-proBNP level were independent risk factors in predicting mortality.