Clin2
NCT07768085Likely a fitNot yet recruiting

Computer-assisted reading for liver lesions on ct scans

Hepatocellular Carcinoma (HCC)Intrahepatic Cholangiocarcinoma (Icc)Hepatic MetastasisHepatic HemangiomaCystFocal Nodular Hyperplasia

Part of Cancer, Digestive system clinical trials.

This study uses a computer program to help doctors look for cancer in the liver on CT scans. It aims to see if the AI tool makes reading scans faster and more accurate, which could help catch issues sooner.

Summary written for real people, not researchers, by Clin2.

Phase
N/A
Enrollment
40,000 people
Ages
18 years and older
Study type
Interventional

Who can take part

  • You are 18 years or older
  • You had a contrast-enhanced CT scan of your abdomen that includes your liver
  • The scan must include three sets of images: before dye, right after dye, and a later phase
  • You have not had major abdominal surgery in the last 30 days (simple gallbladder removal is okay)
  • You have not had a liver injury in the last 30 days
  • The scan quality must be good with clear images

View the official record on ClinicalTrials.gov

Quick eligibility check

Answer a few plain-language questions, based on this study's own requirements, to get a preliminary sense of fit.

Similar studies

Other trials that look related to this one.

NCT07538882Recruiting
AI-Assisted Staging and Treatment Planning for Liver Cancer

This trial uses artificial intelligence to help doctors better stage (classify the severity of) and plan treatment for hepatocellular carcinoma, a type of primary liver cancer. Researchers will collect your clinical information and imaging to see if AI can improve decision-making about your care.

Beijing, Changping
NCT07170345Recruiting
AI to detect hidden spread in liver cancer from scans

This trial uses a computer program to help doctors find signs of microscopic tumor spread in blood vessels (microvascular invasion) from liver cancer images. It aims to improve treatment planning for patients who are having surgery.

Fuzhou, Fujian
NCT07417800Recruiting
Predicting liver cancer treatment after surgery

This study uses digital scans of your tumor tissue and CT/MRI images to build a computer model that helps predict whether you might need extra treatment (adjuvant therapy) after liver cancer surgery. The goal is to use your own tissue and scan data to personalize follow-up care.

Hangzhou, Zhejiang
NCT07651644Recruiting
AI tool to help doctors read gastric cancer imaging

This study tests whether an AI-assisted tool helps radiologists (doctors who read imaging scans) better interpret CT scans of gastric cancer patients. The research compares how accurately doctors read scans with and without AI help.

Shenyang, Liaoning
NCT07613827Enrolling by invitation
AI screening for fatty liver disease using CT scans

This study uses artificial intelligence to help doctors identify fatty liver disease from CT scans you may already be having. If eligible, you'll have some blood tests and possibly an ultrasound or MRI to confirm liver health, helping catch liver disease early.

Shenyang, Liaoning
NCT07042841Enrolling by invitation
AI planning system for liver cancer treatment

This trial uses an AI system to help doctors plan surgery for liver cancer. It is for people who have had a CT scan of their liver and may or may not have a liver tumor.

Beijing, Beijing Municipality

Hear when a new Hepatocellular Carcinoma (HCC) trial opens

We’ll email you when one opens — at most once a week, no account needed, unsubscribe anytime.