About

Michael A. Conditt is a biomedical researcher whose career spans two pivotal domains: the neuroscience of motor learning and the advancement of robotic-assisted orthopedic surgery. His early landmark work, "Persistence of Motor Adaptation During Constrained, Multi-Joint, Arm Movements" (2000, 425 citations), established foundational insights into how the human motor system adapts to novel dynamic environments, demonstrating remarkable stability in learned motor behaviors during targeted reaching tasks. Conditt subsequently channeled his expertise in robotics and human movement into transforming orthopedic surgical practice, particularly unicompartmental knee arthroplasty (UKA). His research consistently demonstrated that robotic and haptic guidance systems dramatically improve the accuracy of component alignment compared to conventional surgical techniques — a critical factor in implant longevity and patient outcomes. His 2009 pilot study on robotic arm-assisted UKA (217 citations) became a cornerstone reference in the field, while subsequent studies on ligament balancing, dynamic tactile guidance, and total hip arthroplasty extended this work across multiple joint replacement procedures. With over 1,400 cumulative citations, Conditt's contributions have meaningfully shaped how surgeons and healthcare systems evaluate the clinical and economic value of precision robotic technology in modern orthopedic surgery.

Research Focus

Key Achievements

16
H-Index
29
Papers
1,703
Total Citations
59
Avg Citations/Paper
🏆 Most Cited Paper
Persistence of Motor Adaptation During Constrained, Multi-Joint, Arm Movements
425 citations · 2000
📈 Most Prolific Year: 2010 (8 Papers)
🤝 Key Collaborators: 64
🏛 Institutions: Northwestern University, University of Fort Lauderdale, Tokyo Medical and Dental University, OrthoSensor (United States), Naples Community Hospital Healthcare System, Hospital for Special Surgery

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago