Publications by authors named "Qiuli Zeng"
Article Synopsis
- The study looked at how well artificial intelligence (AI) can predict if liver cancer comes back after treatment.
- Researchers checked many AI studies from different databases to gather and analyze data.
- The results showed that AI can accurately predict recurrence for different types of liver cancer treatments, suggesting it could be useful in real-life medical settings.
Background: Necrotizing enterocolitis (NEC) is an inflammatory and necrotizing intestinal emergency that occurs in preterm infants and low birth weight newborns; however, no specific serum biomarkers for the diagnosis of NEC has been identified so far.
Methods: Serum samples were collected from healthy neonatal controls and patients with NEC newly admitted to the Children's Hospital of Chongqing Medical University. ELISA was used to measure serum PK2 levels, and ROC curve analysis was sued to evaluate the diagnostic efficacy of PK2 and other clinical biomarkers.
Background: Cerebral stroke (CS) remains a leading cause of mortality worldwide. In addition to effective treatment, nursing intervention plays a pivotal role in the rehabilitation of CS patients.
Objective: This study aims to assess the impact of meticulous care integrated with risk management on rehabilitating cerebral stroke patients.
Background: Neoadjuvant chemoradiotherapy followed by esophagectomy is the standard treatment for patients with locally advanced esophageal squamous cell carcinoma (ESCC). This study explored correlations of clinical factors and dose-volume histogram (DVH) parameters with postoperative cardiopulmonary complications and predicted their risk by establishing a nomogram model.
Methods: Clinical and DVH parameters of ESCC patients who underwent trimodality treatment from 2002 to 2020 were collected.