AIMC Journal:
Public health challenges

Showing 1 to 7 of 7 articles

Optimizing Tuberculosis Incidence Prediction: A Systematic Review of Hybrid Modeling Approaches and Machine Learning Techniques.

Public health challenges
BACKGROUND: Tuberculosis (TB) remains a significant global health problem, particularly in low- and middle-income countries (LMICs), where accurate prediction of TB incidence is crucial for effective public health interventions. OBJECTIVE: This revie...

Integrating Conventional and Emerging Approaches in Cardiovascular Risk Assessment and Management.

Public health challenges
Cardiovascular diseases (CVDs) remain the leading cause of global mortality, and the burden is rising fastest in low- and middle-income countries (LMICs). Conventional risk calculators, such as Framingham and Systematic Coronary Risk Evaluation (SCOR...

Top 10 Public Health Challenges in 2025: Lessons and Priorities for 2025-2030.

Public health challenges
By 2025, global public health will be shaped by interconnected and intensifying threats that demand coordinated international action. Ten key public health challenges were identified and examined. This perspective reviews the challenges that shaped 2...

AI-Driven Dentistry and Public Health Surveillance: Opportunities and Challenges.

Public health challenges
The integration of artificial intelligence (AI) into dentistry is reshaping clinical workflows, opening new possibilities for population-level public health monitoring. Machine learning approaches, such as convolutional neural networks and other deep...

From Locus of Control to Fear: How Intolerance of Uncertainty Shapes Young Arab Adults' Perceptions of Artificial Intelligence.

Public health challenges
BACKGROUND: This cross-sectional study examines whether intolerance of uncertainty (IU) is indirectly associated with the relationship between internal and external locus of control (LoC) and fear of autonomous robots and artificial intelligence (FAR...

Challenges of Artificial Intelligence in Medical Diagnosis in Congolese Hospitals: A Literature Review.

Public health challenges
INTRODUCTION: Artificial intelligence (AI) is rapidly transforming medical diagnosis worldwide, but its adoption remains limited in Africa, particularly in the Democratic Republic of Congo (DRC). This narrative review aims to analyze the contribution...

Artificial Intelligence in African Cardiovascular Care: Opportunities, Challenges, and Pathways to Improved Outcomes.

Public health challenges
Cardiovascular disease (CVD) remains a leading cause of morbidity and mortality in Africa, accounting for over 1 million deaths annually. As CVD prevalence rises, Africa faces challenges in prevention, diagnosis, and management. Addressing this crisi...