Comparing AI and traditional methods to predict ICU stays after head and neck tumor surgery
Contrast Between Traditional Regression Model and AI in Predicting Prolonged Stay Stay After Head and Neck Tumors
This study is trying to see if using artificial intelligence can better predict which patients will need to stay in the ICU for more than 24 hours after surgery for head and neck tumors compared to traditional methods.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 700 (estimated) |
| Ages | 18 Years and up |
| Sex | All |
| Sponsor | Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University Academic / other |
| Locations | 1 site (Guangzhou, Guangdong) |
| Trial ID | NCT06570486 on ClinicalTrials.gov |
What this trial studies
This observational study establishes a cohort of patients who have undergone surgery for head and neck tumors and evaluates the effectiveness of artificial intelligence (AI) versus traditional regression models in predicting whether these patients will require an ICU stay longer than 24 hours. The study involves a retrospective analysis of medical records, with data divided into training and validation groups. The AI model is trained on this data, and its predictive accuracy is compared to that of the traditional model using receiver operating characteristic (ROC) analysis.
Who should consider this trial
Good fit: Ideal candidates for this study are adults over 18 years old who have undergone surgery for head and neck tumors.
Not a fit: Patients who have been transferred to the ICU more than once or those with unplanned ICU transfers may not benefit from this study.
Why it matters
Potential benefit: If successful, this study could enhance the accuracy of predicting ICU stays, leading to better resource allocation and patient management.
How similar studies have performed: While the use of AI in medical predictions is gaining traction, this specific comparison between AI and traditional models in the context of head and neck tumor surgeries is relatively novel.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: 1. Patients after head and neck tumors; 2. older than 18 years. Exclusion Criteria: 1. Patients transferred to ICU twice after head and neck tumors; 2. Patients with unplanned transfer to the ICU.
Where this trial is running
Guangzhou, Guangdong
- Sun Yat-sen Memorial Hospital, Sun Yat-sen University — Guangzhou, Guangdong, China (Recruiting)
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.