{
  "$type": "site.standard.document",
  "bskyPostRef": {
    "cid": "bafyreibpdovrqnhqwkqwrvbsxk6at225usf6mhnc32cbokvxtel3xkfg7y",
    "uri": "at://did:plc:pmmp7irwts7faw56jdxk3idc/app.bsky.feed.post/3mmuqkdbyse52"
  },
  "coverImage": {
    "$type": "blob",
    "ref": {
      "$link": "bafkreig5omwfpcpbblfogls5hqpkr4ll4roctfuemn2d66dkojvfus2lae"
    },
    "mimeType": "image/jpeg",
    "size": 472670
  },
  "path": "/news/2026-05-ai-cancer-survivors-emergency-worsening.html",
  "publishedAt": "2026-05-27T19:40:03.000Z",
  "site": "https://medicalxpress.com",
  "textContent": "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.",
  "title": "Study: AI may help identify cancer survivors at risk for emergency visits, worsening symptoms"
}