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CLINICAL_TRIALS ClinicalTrials.gov record update

Comparative Evaluation of Machine Learning Algorithms for Predicting Spinal Anesthesia Termination Time

This page presents selected fields from the linked source record. It does not add a medical interpretation.

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Record identity and dates

Source
ClinicalTrials.gov
Source record ID
NCT07256548
Title field or adapter rule
protocolSection.identificationModule.officialTitle
Ingested At
2026-04-25T22:28:52.378320+00:00
Published At
2025-12-08T00:00:00+00:00
Record Updated At
2025-12-08
Timestamp Basis
source retrieval time was not retained by the feed adapter
Date limitation
source retrieval time was not retained by the feed adapter

Fields recorded by this source

protocolSection.conditionsModule.conditions
["Spinal Anesthesia", "Machine Learning", "Knee Arthroplasty, Total", "Spinal Anesthesia Duration", "Postoperative Care", "Postoperative Acute Pain"]
protocolSection.statusModule.lastUpdatePostDateStruct.date
"2025-12-08"
protocolSection.identificationModule.nctId
"NCT07256548"
protocolSection.identificationModule.officialTitle
"Comparative Evaluation of Machine Learning Algorithms for Predicting Spinal Anesthesia Termination Time"
protocolSection.statusModule.overallStatus
"RECRUITING"
protocolSection.designModule.phases
[]
protocolSection.statusModule.resultsFirstPostDateStruct.date
""

Study condition terms

  • Spinal Anesthesia (protocolSection.conditionsModule.conditions)
  • Machine Learning (protocolSection.conditionsModule.conditions)
  • Knee Arthroplasty, Total (protocolSection.conditionsModule.conditions)
  • Spinal Anesthesia Duration (protocolSection.conditionsModule.conditions)
  • Postoperative Care (protocolSection.conditionsModule.conditions)
  • Postoperative Acute Pain (protocolSection.conditionsModule.conditions)

Intervention details are not present in the imported fields for this record. No drug-condition relationship is inferred from co-listing.

This index keeps the source fields it imported; it may not contain the complete original record. Verify wording and context in the linked source.