AIMC Topic: Nigeria

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Assessment of Knowledge, Practice, Perception, and Expectations of Artificial Intelligence in Medical Care among Staff of a Tertiary Hospital.

Ethiopian journal of health sciences Jul 1, 2024
BACKGROUND: Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. AI technology has wide applications in biomedicine and has real practical benefits in many medical applications. The ...
Male Middle Aged Adult Cross-Sectional Studies Nigeria Health Knowledge, Attitudes, Practice Tertiary Care Centers Surveys and Questionnaires Attitude of Health Personnel Humans Artificial Intelligence Female Young Adult
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Exploring artificial intelligence in the Nigerian medical educational space: An online cross-sectional study of perceptions, risks and benefits among students and lecturers from ten universities.

The Nigerian postgraduate medical journal Jan 1, 2023
BACKGROUND: The impact of artificial intelligence (AI) has been compared to that of the Internet and printing, evoking both apprehension and anticipation in an uncertain world.
Humans Artificial Intelligence Students, Medical Cross-Sectional Studies Nigeria Risk Assessment Universities
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Pattern and predictors of urine protein excretion among patients with type 2 diabetes attending a single tertiary hospital in Lagos, Nigeria.

Saudi journal of kidney diseases and transplantation : an official publication of the Saudi Center for Organ Transplantation, Saudi Arabia Jan 1, 2017
Testing for proteinuria is used to screen for diabetic nephropathy. However, significant proportion of diabetics has normal urine protein excretion despite impaired renal function. We aimed to determine the factors predicting increased urine protein ...
Tertiary Care Centers Creatinine Proteinuria Angiotensin-Converting Enzyme Inhibitors Blood Pressure Middle Aged Antihypertensive Agents Risk Assessment Hypertension Diabetic Nephropathies Cross-Sectional Studies Angiotensin II Type 1 Receptor Blockers Glomerular Filtration Rate Risk Factors Kidney Prognosis Humans Male Aged Female Biomarkers Aged, 80 and over Adult Nigeria Diabetes Mellitus, Type 2
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Combining satellite imagery and machine learning to predict poverty.

Science (New York, N.Y.) Aug 19, 2016
Reliable data on economic livelihoods remain scarce in the developing world, hampering efforts to study these outcomes and to design policies that improve them. Here we demonstrate an accurate, inexpensive, and scalable method for estimating consumpt...
Malawi Income Developing Countries Poverty Tanzania Satellite Imagery Machine Learning Nigeria Rwanda Uganda Humans
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The antioxidant and phenolic profiles of five green vegetables grown in Southern Nigeria.

Acta scientiarum polonorum. Technologia alimentaria Jan 1, 2016
BACKGROUND: Regular consumption of vegetables has been associated with reduced risk of chronic diseases. The phenolic and free radical scavenging properties of five green vegetables grown in southern Nigeria were determined.
Crops, Agricultural Seasons Vegetables Plant Leaves Antioxidants Nigeria Flavonoids Phenols Plant Extracts Principal Component Analysis Anthocyanins
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