Clinical trials: Learning Model
BIS, BIS-EEG
Deep Learning Framework for Continuous Depth of Anesthesia Forecasting
The integration of Artificial Intelligence (AI) in anesthesiology offers the potential to shift patient monitoring from reactive to predictive.
- Conditions
- BIS, BIS-EEG, Artifical Intelligence, Intraoperative
- Trial name
- NCT07536230
- Where
- Belgium
- Volunteers
- 115 people, healthy volunteers welcome
- Sponsor
- Universitair Ziekenhuis Brussel
Cancer Diagnosis, Liver Cancer, Adult
Raman Spectroscopy-Based Deep Learning Model for Early Pan-Cancer Early Diagnosis
The goal of this observational study is to explore whether a Raman-based, deep learning-assisted approach can be used to develop an effective method for early pan-cancer screening.
- Conditions
- Cancer Diagnosis, Liver Cancer, Adult, Cancer Screening, Colorectal Cancer (CRC)
- Trial name
- NCT06822413
- Testing
- No Interventions
- Where
- 4 sites in China
- Volunteers
- 600 people, healthy volunteers welcome
- Sponsor
- Second Affiliated Hospital, Zhejiang University, School of Medicine
The Effect of the Flipped-Jigsaw Learning Model on Learning
Jigsaw Learning Model and Urinary Catheter Care
This study was planned to evaluate the effect of the reversed Jigsaw learning model on urinary catheter care in nursing students. It is anticipated that the relevant method will increase the knowledge level of students.
- Trial name
- NCT06405165
- Testing
- student success
- Where
- Turkey (Türkiye)
- Volunteers
- 100 people, healthy volunteers welcome
- Sponsor
- Bilecik Seyh Edebali Universitesi