Clinical trials: Artificial Intelligence Technology
Pancreatic Cancer, Pancreatic Ductal Adenocarcinoma
AI-powered Early Detection for Pancreatic Cancer Via Non-contrast CT in Opportunistic Screening Cohort
Pancreatic ductal adenocarcinoma (PDAC) remains a therapeutic challenge with 5-year survival rates of 13%, primarily attributable to advanced-stage diagnosis (AJCC Stage III/IV in >80% of cases).
- Conditions
- Pancreatic Cancer, Pancreatic Ductal Adenocarcinoma, Pancreatic Intraepithelial Neoplasias, Intraductal Papillary Mucinous Neoplasm
- Trial name
- AI-PANC (NCT06638866)
- Testing
- PDAC, Pancreatic precursor lesions
- Where
- 3 sites in China
- Volunteers
- 5,000 people, healthy volunteers welcome
- Sponsor
- Changhai Hospital
Liver Fibrosis
Prediction of Significant Liver Fibrosis
The deep learning method based on convolutional neural network (CNN) was used to extract the relevant features of liver fibrosis classification from the multi-modal information of digital pathological sections, clinical…
- Trial name
- PSLF (NCT06509230)
- Where
- China
- Volunteers
- 700 people, healthy volunteers welcome
- Sponsor
- Huang Haijun
PTSD - Post Traumatic Stress Disorder
Advancing Skills Through Consultation, Education, and Novel Technologies
This research study tests strategies to train behavioral health providers in Written Exposure Therapy (WET), an evidence-based treatment for posttraumatic stress disorder (PTSD).
- Trial name
- ASCENT (NCT07707102)
- Testing
- Live workshop, AI-enhanced Web-based training, Consultation video calls
- Where
- United States
- Volunteers
- 300 people, healthy volunteers welcome
- Sponsor
- The University of Texas Health Science Center at San Antonio
Hematopoietic Cell Transplantation
Development and Piloting an Avatar-based Intervention to Support Patients Undergoing Stem Cell Transplantation
The goal of this research study is to provide an avatar-based technology during a subject's stay for participants who have been admitted to the hospital for reduced-intensity conditioning (RIC) allogeneic transplant.
- Trial name
- NCT05600101
- Testing
- Care.Coach
- Where
- 2 sites in United States
- Volunteers
- 18 people, healthy volunteers welcome
- Sponsor
- Dana-Farber Cancer Institute
Partially Edentulous Maxilla, Mandible, Edentulous Alveolar Ridge
Accuracy of Computer Guided Implant Placement in Edentulous or Partially Edentulous Patients Using Artificial Intelligence Technology vs Conventional Method A Randomized Clinical Trial
This study at Future University in Egypt aims to compare two modern methods of placing dental implants: one using artificial intelligence (AI)-assisted computer planning and the other using conventional computer-guided planning.
- Trial name
- NCT07627841
- Testing
- Group A: AI-assisted computer-guided implant planning, Group B: Conventional computer-guided implant planning
- Where
- Egypt
- Volunteers
- 30 people, healthy volunteers welcome
- Sponsor
- Future University in Egypt
Surgery
Intelligent Operating Room
The widely varied practice of surgery, alongside rapidly expanding specialised knowledge and evolving technology as well as the fast turnover of operating theatre staff means they often face unfamiliar operations, techniques and…
- Trial name
- inOr (NCT03955614)
- Testing
- pedal-controlled GoSurgeryTM, ML-controlled GoSurgeryTM, NoGo
- Where
- United Kingdom
- Volunteers
- 150 people, healthy volunteers welcome
- Sponsor
- Imperial College London
Cardiovascular Diseases
Development of CV Risk Prediction Tools Based on AI and Fundus Imaging Technology Study (PERFECT)
This study aims to develop a cardiovascular disease (CVD) screening tool and cardiovascular risk prediction tool based on fundus imaging data with the method of artificial intelligence.
- Trial name
- PERFECT (NCT06181552)
- Testing
- fundus photograpgy, optical coherence tomography, optical coherence tomography angiography
- Volunteers
- 1,072 people, healthy volunteers welcome
- Sponsor
- China National Center for Cardiovascular Diseases