Clinical trials: Hepatobiliary Disease
Ophthalmology, Artificial Intelligence (AI)
Detection of Systemic Diseases Such as Hepatobiliary Diseases From Ocular Images Via Deep Learning
Oculomics is an emerging interdisciplinary field that deciphers multi-dimensional, high-throughput ocular data to predict, diagnose, and monitor systemic diseases and health span.In recent years, artificial Intelligence may…
- Conditions
- Ophthalmology, Artificial Intelligence (AI), Hepatobiliary Diseases, Systemic Diseases
- Trial name
- NCT07581925
- Testing
- Systemic diseases such as Hepatobiliary Disorders
- Where
- China
- Volunteers
- 730 people, healthy volunteers welcome
- Sponsor
- Zhongshan Ophthalmic Center, Sun Yat-sen University
Cardiac Disorder, Hepatic Disorder
Kosmos Anatomical Object Labeling and View Identification Pivotal Study
This is a multi-site, multi-group study that obtained two sets of ultrasound scans from all enrolled participants. Participants underwent limited ultrasound scanning by both cardiac sonographers and abdominal sonographers.
- Conditions
- Cardiac Disorder, Hepatic Disorder, Spleen Disorder, Kidney Disorder
- Trial name
- NCT06468787
- Testing
- Kosmos Anatomical Object Labeling and View Identification Algorithms
- Where
- United States
- Volunteers
- 32 people, healthy volunteers welcome
- Sponsor
- EchoNous Inc.
Hepatobiliary Diseases
Sulfation of Bile Acids as a Biomarker for Hepatobiliary Diseases
The investigators hypothesize that the extent of sulfation of toxic BAs and their urinary elimination can be used as a biomarker to predict the severity and prognosis of hepatobiliary diseases.
- Trial name
- NCT01200082
- Where
- United States
- Volunteers
- 430 people, healthy volunteers welcome
- Sponsor
- University of Nebraska
Hepatocellular Carcinoma, Cholangiocarcinoma
Hepatobiliary Tumors Tissue Samples Acquisition
Hepatobiliary tumors have a poor prognosis and high individual heterogeneity, so it is of great significance to find important prognostic markers and then screen out specific subgroups of people; meanwhile, chronic hepatitis…
- Conditions
- Hepatocellular Carcinoma, Cholangiocarcinoma, Gallbladder Cancer, Biliary Tract Cancer
- Trial name
- NCT04445532
- Testing
- Gene expression analysis, Genomic analysis, Protein expression analysis
- Where
- China
- Volunteers
- 450 people, healthy volunteers welcome
- Sponsor
- Peking Union Medical College Hospital
Ophthalmology, Artificial Intelligence
Detection of Jaundice From Ocular Images Via Deep Learning
Our study presents a detection model predicting a diagnosis of jaundice (clinical jaundice and occult jaundice) trained on prospective cohort data from slit-lamp photos and smartphone photos, demonstrating the model's validity…
- Conditions
- Ophthalmology, Artificial Intelligence, Hepatobiliary Disease
- Trial name
- NCT05682105
- Where
- China
- Volunteers
- 1,633 people, healthy volunteers welcome
- Sponsor
- Sun Yat-sen University
Ophthalmology, Artificial Intelligence
Screening and Identifying Hepatobiliary Diseases Via Deep Learning Using Ocular Images
Artificial Intelligence may provide insight into exploring the potential covert association behind and reveal some early ocular architecture changes in individuals with hepatobiliary disorders.
- Conditions
- Ophthalmology, Artificial Intelligence, Hepatobiliary Disease
- Trial name
- NCT04213183
- Testing
- Hepatobiliary Disorders
- Where
- China
- Volunteers
- 1,789 people, healthy volunteers welcome
- Sponsor
- Sun Yat-sen University
Hepatobiliary Disease
Usefulness of BiClamp Forceps for Liver Resection: A Randomized Clinical Trial
The purpose of this study is to compare short-term and long-term efficacy of BiClamp forceps hepatectomy and clamp-crushing technique for parenchymal transection during elective hepatic resection.
- Trial name
- NCT02197481
- Testing
- Clamp-Crushing technique, BiClamp forceps
- Where
- China
- Volunteers
- 105 people, healthy volunteers welcome
- Sponsor
- The Second Hospital of Anhui Medical University