Steve A. Adeshina

Papers

Total Citations

H-Index

About

Steve A. Adeshina is a researcher at the forefront of applying artificial intelligence and robotics to critical challenges in healthcare and biomechanics. His work primarily spans deep learning for medical diagnostics, teleoperative robotic systems, and human gait analysis. Adeshina’s most notable contribution is a pioneering study on deep learning-based classification of COVID-19 lung ultrasound for tele-operated robot-assisted diagnosis. This work, which has garnered 8 citations, directly addresses the urgent need to protect healthcare workers—over 300,000 of whom were infected globally during the pandemic—by enabling remote, robotic diagnosis. In parallel, his comprehensive review on parameters for human gait analysis (3 citations) synthesizes signal processing, machine learning, and computer vision methods, providing a foundational resource for applications in medicine, biomechanics, and robotics. By bridging AI, robotics, and clinical practice, Adeshina’s research offers tangible solutions for reducing infection risks and advancing automated, data-driven patient care.