David Dalton

Cappagh National Orthopaedic Hospital, Hospital for Special Surgery, Royal College of Surgeons in Ireland

Papers

Total Citations

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About

David Dalton is a researcher at the intersection of orthopedics, urology, and advanced medical imaging, with a focus on quantifying technological innovation and improving surgical outcomes. His most influential work, "Quantitative Analysis of Technological Innovation in Knee Arthroplasty" (2015, 25 citations), established a framework for measuring the impact of new technologies in joint replacement, providing a benchmark for evaluating clinical advancements. Dalton extended this methodology to urology in a 2017 study (11 citations), demonstrating the versatility of his analytical approach across surgical specialties. More recently, his 2024 paper on deep-learning reconstructed lumbar spine 3D MRI for surgical planning (14 citations) represents a significant leap forward, showing how artificial intelligence can replace CT scans for pedicle screw placement and geometric measurements—reducing radiation exposure while maintaining accuracy. This work has immediate implications for preoperative planning in spine surgery. Dalton’s contributions bridge quantitative innovation assessment and cutting-edge imaging, making him a key voice in evidence-based surgical technology adoption.