Ahmed Swealem

North Bristol NHS Trust

Papers

4

Total Citations

9

H-Index

2

About

Ahmed Swealem is a rising voice at the intersection of artificial intelligence, augmented reality, and advanced surgical innovation. His research focuses on how emerging technologies—particularly AI and AR—can transform surgical decision-making, training, and patient outcomes across orthopedics, general surgery, and pediatric thoracic surgery. In his highly cited 2025 review, Swealem explores AI-enhanced surgical decision-making in orthopedics, detailing how machine learning models improve preoperative planning, intraoperative guidance, and real-time adaptation—a framework that has already garnered 4 citations in its first year. He also investigates augmented reality’s role in surgical training, synthesizing evidence on how digital overlays promote safer, more structured skill acquisition. Beyond these frontiers, Swealem has contributed comprehensive narrative reviews on pediatric and neonatal thoracic surgery, highlighting minimally invasive and robotic-assisted techniques, and on near-infrared fluorescence imaging for tumor margin detection and biliary anatomy. His work consistently bridges cutting-edge technology with practical surgical applications, making him a key contributor to the next generation of data-driven, precision surgery.

Research Focus

Key Achievements

2
H-Index
4
Papers
9
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
AI-Enhanced Surgical Decision-Making in Orthopedics: From Preoperative Planning to Intraoperative Guidance and Real-Time Adaptation
4 citations · 2025
📈 Most Prolific Year: 2025 (4 Papers)
🤝 Key Collaborators: 21
🏛 Institutions: North Bristol NHS Trust

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago