David B. Olawade

Orcid: 0000-0003-0188-9836

According to our database1, David B. Olawade authored at least 21 papers between 2025 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
The role of digital twin technology in physiotherapy and rehabilitation practice.
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

The role of digital twin technology in modern emergency care.
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

Digital twin applications in healthcare for people living with disability.
Int. J. Medical Informatics, 2026

Hybridized artificial intelligence system for reducing neonatal mortality in Nigeria.
Int. J. Medical Informatics, 2026

AI-driven diagnosis of Lassa fever: Evidence from Nigerian clinical records.
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


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