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Machine learning in the development and application of patient-reported outcome measures (PROMs) for surgical patients: a systematic review
1
Zitationen
10
Autoren
2026
Jahr
Abstract
AI and ML have the potential to improve PROM utilization in surgical care by enhancing efficiency and personalization while maintaining data quality. Clinicians can use AI-driven PROMs to reduce patient burden and integrate ML models for accurate post-surgical outcome prediction, thereby optimizing patient-centered care.
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Autoren
Institutionen
- University of Toronto(CA)
- St Michael's Hospital(GB)
- Alfaisal University(SA)
- Royal College of Surgeons in Ireland(IE)
- King Faisal Specialist Hospital & Research Centre(SA)
- Brigham and Women's Hospital(US)
- Harvard University(US)
- St. Michael's Hospital(CA)
- Institute for Clinical Evaluative Sciences(CA)
- Unity Health Toronto
- Artificial Intelligence in Medicine (Canada)(CA)
- Ontario Medical Association(CA)