Publications by authors named "Lauren Manganiello"
Front Artif Intell
November 2024
Article Synopsis
- The algorithmic patient preference predictor (PPP) aims to help make decisions for incapacitated patients when there are no advanced directives, highlighting both ethical challenges and practical issues in personalizing predictions.
- A review of studies found 68 using machine learning to predict patient-reported outcome measures (PROMs), with orthopedic and spinal surgeries being the most common focus; however, overall predictive performance was generally poor to moderate.
- Pre-event PROMs emerged as key predictors of post-event outcomes, indicating the need to integrate patient preferences into developing personalized PPP models, which currently lack adequate fairness assessments.
