David B. Olawade
Orcid: 0000-0003-0188-9836
According to our database1,
David B. Olawade authored at least 21 papers
between 2025 and 2026.
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Bibliography
2026
Virtual Real. Intell. Hardw., 2026
Digital Health Disparities: A Review of Barriers and Solutions for Racially Diverse Groups.
Int. J. Medical Informatics, 2026
Machine learning prediction of kangaroo mother care in Sierra Leone: a comparative study of feature selection techniques and classification algorithms.
Int. J. Medical Informatics, 2026
Human in the loop artificial intelligence in healthcare: applications, outcomes, and implementation challenges.
Int. J. Medical Informatics, 2026
Smart insurance analytics: A novel ensemble feature selection approach to unlock health insurance coverage predictions in Sierra Leone.
Int. J. Medical Informatics, 2026
Int. J. Medical Informatics, 2026
Artificial intelligence in clinical trials: A comprehensive review of opportunities, challenges, and future directions.
Int. J. Medical Informatics, 2026
Ethical oversight of Artificial Intelligence in Nigerian Healthcare: A qualitative analysis of ethics committee members' perspectives on integration and regulation.
Int. J. Medical Informatics, 2026
Int. J. Medical Informatics, 2026
Hybridized artificial intelligence system for reducing neonatal mortality in Nigeria.
Int. J. Medical Informatics, 2026
Comput. Biol. Chem., 2026
2025
Machine learning techniques for stroke prediction: A systematic review of algorithms, datasets, and regional gaps.
Int. J. Medical Informatics, 2025
Explainable machine learning models for early Alzheimer's disease detection using multimodal clinical data.
Int. J. Medical Informatics, 2025
Bridging the digital divide: artificial intelligence as a catalyst for health equity in primary care settings.
Int. J. Medical Informatics, 2025
Evaluating AI adoption in healthcare: Insights from the information governance professionals in the United Kingdom.
Int. J. Medical Informatics, 2025
Enhancing qualitative research through virtual focus groups and artificial intelligence: A review.
Int. J. Medical Informatics, 2025
Artificial intelligence in tobacco control: A systematic scoping review of applications, challenges, and ethical implications.
Int. J. Medical Informatics, 2025
Artificial intelligence readiness among healthcare students in Nigeria: A cross-sectional study assessing knowledge gaps, exposure, and adoption willingness.
Int. J. Medical Informatics, 2025
AI-driven triage in emergency departments: A review of benefits, challenges, and future directions.
Int. J. Medical Informatics, 2025
The role of artificial intelligence in blood-borne virus opt-out testing in emergency departments.
Int. J. Medical Informatics, 2025
Hierarchical machine learning models for predicting antenatal care utilisation among Nigerian women: Identifying actionable insights for health policy.
BioData Min., 2025