AIMC Topic: Sudan

Clear Filters Showing 1 to 3 of 3 articles

Unsupervised machine learning identifies biomarkers of disease progression in post-kala-azar dermal leishmaniasis in Sudan.

PLoS neglected tropical diseases
BACKGROUND: Post-kala-azar dermal leishmaniasis (PKDL) appears as a rash in some individuals who have recovered from visceral leishmaniasis caused by Leishmania donovani. Today, basic knowledge of this neglected disease and how to predict its progres...

Mapping, intensities and future prediction of land use/land cover dynamics using google earth engine and CA- artificial neural network model.

PloS one
Mapping of land use/ land cover (LULC) dynamics has gained significant attention in the past decades. This is due to the role played by LULC change in assessing climate, various ecosystem functions, natural resource activities and livelihoods in gene...

Shaping the future of medical education: A cross-sectional study on ChatGPT attitude and usage among medical students in Sudan.

PloS one
BACKGROUND: Artificial intelligence (AI) is revolutionizing education globally, yet its adoption in medical education remains inadequately understood. ChatGPT, a generative AI tool, offers promising yet doubtful potential for enhancing academic and c...