Tamer Hage
Papers
4
Total Citations
33
H-Index
3
About
Tamer Hage is at the forefront of integrating artificial intelligence into orthopedic and spine surgery, pioneering a new era of precision medicine. His research focuses on leveraging machine learning and robotics to enhance diagnostic accuracy, surgical precision, and patient outcomes in musculoskeletal care. Hage’s seminal 2025 review on AI in orthopedics—already garnering 25 citations—outlines how deep learning and smart implants are transforming preoperative planning and intraoperative robotics. He is also a key investigator in the PRoGRSS study, which evaluates navigated robotics in thoracolumbar spine surgery, providing critical data on complication and revision rates. Expanding beyond orthopedics, Hage explores the intersection of AI with interconnected musculoskeletal and visual systems, using convolutional neural networks to detect subclinical correlations between ocular biomarkers and systemic pathologies. His work bridges bioengineering and clinical practice, offering a roadmap for AI-driven, data-informed surgical care. With multiple high-impact publications in 2025 alone, Hage is rapidly establishing himself as a leading voice in the future of smart, robotic-assisted surgery.
Research Focus
Key Achievements
Top Papers
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