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http://111.93.178.142:25000/jspui/handle/123456789/8237Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Fee, Selina | - |
| dc.date.accessioned | 2026-10-27T09:12:08Z | - |
| dc.date.available | 2026-10-27T09:12:08Z | - |
| dc.date.issued | 2026-09 | - |
| dc.identifier.issn | 2581-463X | - |
| dc.identifier.uri | http://111.93.178.142:25000/jspui/handle/123456789/8237 | - |
| dc.language.iso | en | en_US |
| dc.publisher | Innovational | en_US |
| dc.subject | Out-of-hospital cardiac arrest, emergency medical services, artificial intelligence, machine learning, cardiac arrest, resuscitation, bibliometrics | en_US |
| dc.title | Artificial intelligence applications in out-of-hospital cardiac arrest: an analysis of emerging research trends | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | Vol-11, No.-3 (Jul-Sep) 2026 | |
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