Study: AI may help identify cancer survivors at risk for emergency visits, worsening symptoms
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.
Story file
- 96/100
- 100/100
- 27 May 2026
- Medical Xpress
Credibility weighs source quality, source links, and evidence signals. Positivity weighs clear beneficial AI use and excludes fear, market, or job-loss framing.
How scoring worksThis may help health teams target attention and resources when evidence is tested carefully.
Source: Medical Xpress. Primary or high-credibility source signal found. AI relevance signals: AI, artificial intelligence. Human-benefit domain: health care, public service or safety. Positive impact signals: helps mission team, supports beneficial workflow, detects earlier. Evidence signals: study, university, report.