Jonathan Schaffer

Jonathan Schaffer is affiliated with Rutgers, The State University of New Jersey in the United States. Their research primarily lies in the field of Medicine, with a focus on Surgery and related subfields. Schaffer's work encompasses areas such as Biomedical Engineering, Public Health, Environmental and Occupational Health, Organizational Behavior and Human Resource Management, and Health Informatics.

The main topics covered in Schaffer's research include:

• Orthopaedic implants and arthroplasty
• Total Knee Arthroplasty Outcomes
• Orthopedic Infections and Treatments
• Telemedicine and Telehealth Implementation
• Healthcare Systems and Technology
• Artificial Intelligence in Healthcare and Education
• Hip and Femur Fractures

Schaffer has contributed to several academic venues, notably:

• The Journal of Arthroplasty
• The Journal of Knee Surgery
• Bone & Joint Open
• Proceedings of the Annual Hawaii International Conference on System Sciences
• Current Reviews in Musculoskeletal Medicine

Frequent collaborators include:

• Nicolás S. Piuzzi
• Viktor E. Krebs
• Ahmed K. Emara
• Robert M. Molloy
• Nilmini Wickramasinghe

Recent papers related to this network and topic of investigation include:

• "Machine Learning and Artificial Intelligence: Definitions, Applications, and Future Directions", 2020, Current Reviews in Musculoskeletal Medicine
• "Artificial Intelligence to Identify Arthroplasty Implants From Radiographs of the Hip", 2020, The Journal of Arthroplasty
• "Gamer's Health Guide: Optimizing Performance, Recognizing Hazards, and Promoting Wellness in Esports", 2020, Current Sports Medicine Reports
• "Artificial Intelligence to Identify Arthroplasty Implants From Radiographs of the Knee", 2020, The Journal of Arthroplasty
• "Combinations of Preoperative Patient-Reported Outcome Measure Phenotype (Pain, Function, and Mental Health) Predict Outcome After Total Knee Arthroplasty", 2022, The Journal of Arthroplasty