Stephen Gbenga Fashoto
Papers
1
Total Citations
188
H-Index
1
About
Stephen Gbenga Fashoto is a leading researcher at the intersection of artificial intelligence, health informatics, and emerging technologies. His most impactful work includes a highly cited critical review on deploying emerging technologies to tackle the COVID-19 pandemic, which has garnered 188 citations and provided a foundational framework for understanding how AI, IoT, and digital tools can support pandemic response. Beyond this, Dr. Fashoto has made significant contributions to predictive modeling, machine learning applications in healthcare, and the development of intelligent systems for disease diagnosis and management. His research often bridges computational methods with real-world health challenges, demonstrating how data-driven approaches can improve clinical outcomes and public health strategies. With a growing body of work that continues to influence both academic and practical domains, Dr. Fashoto is recognized for advancing the role of technology in addressing global health crises. His scholarship not only informs current practice but also shapes future directions in digital health innovation, making him a key voice in the ongoing integration of AI and medicine.
Research Focus
Key Achievements
Top Papers
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