AIMC Topic: Africa

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A Systematic Review and Meta-Analysis of the Efficacy of Biosecurity in Disease Prevention and Control in Livestock Farms in Africa.

Transboundary and emerging diseases
In Africa, livestock production plays a crucial role for sustainable food security and economic growth. However, the development of this sector has been delayed by livestock diseases, one of the main constraints, which can cause important production ...

A Systematic Review and Meta-Analysis of the Association between Childhood Exposure to Intimate Partner Violence and Intimate Partner Violence Victimization/Perpetration in Adulthood in Africa.

Trauma, violence & abuse
Intimate partner violence (IPV) is widespread in many African countries. Evidence, mainly from Western countries, shows that exposure to IPV in childhood is an important risk factor for experiences of IPV in adulthood. However, to date, no systematic...

Artificial intelligence and forensic mental health in Africa: a narrative review.

International review of psychiatry (Abingdon, England)
This narrative review examines the integration of Artificial Intelligence (AI) tools into forensic psychiatry in Africa, highlighting possible opportunities and challenges. Specifically, AI may have the potential to augment screening in prisons, risk...

Responsibility Gap(s) Due to the Introduction of AI in Healthcare: An Ubuntu-Inspired Approach.

Science and engineering ethics
Due to its enormous potential, artificial intelligence (AI) can transform healthcare on a seemingly infinite scale. However, as we continue to explore the immense potential of AI, it is vital to consider the ethical concerns associated with its devel...

Advancing common bean (Phaseolus vulgaris L.) disease detection with YOLO driven deep learning to enhance agricultural AI.

Scientific reports
Common beans (CB), a vital source for high protein content, plays a crucial role in ensuring both nutrition and economic stability in diverse communities, particularly in Africa and Latin America. However, CB cultivation poses a significant threat to...

Predicting Schistosomiasis Intensity in Africa: A Machine Learning Approach to Evaluate the Progress of WHO Roadmap 2030.

The American journal of tropical medicine and hygiene
The World Health Organization (WHO) 2030 Roadmap aims to eliminate schistosomiasis as a public health issue, targeting reductions in the heavy intensity of infections. Previous studies, however, have predominantly used prevalence as the primary indic...

Assessing the influence of landscape conservation and protected areas on social wellbeing using random forest machine learning.

Scientific reports
The urgency of interconnected social-ecological dilemmas such as rapid biodiversity loss, habitat loss and fragmentation, and the escalating climate crisis have led to increased calls for the protection of ecologically important areas of the planet. ...

Transformative potential of artificial intelligence on health care and research in Africa.

International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases

Wildlife conservation using drones and artificial intelligence in Africa.

Science robotics
The use of drones and artificial intelligence may offer more reliable methods of counting populations and monitoring wildlife.