Artificial intelligence models using electronic health records and patient-reported outcomes may help identify cancer survivors at increased risk for emergency department visits, hospitalizations and worsening symptoms after treatment, according to a new study from Sylvester Comprehensive Cancer Center, part of the University of Miami Miller School of Medicine. The findings suggest AI-driven risk forecasting could help care teams intervene earlier with more proactive survivorship support.
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