The aim of this study was to evaluate the surgical decisions of Watson artificial intelligence in patients with hepatocellular carcinoma.
Hepatectomy is an effective treatment for patients with hepatocellular carcinoma, but liver failure after hepatectomy may lead to increased postoperative mortality. Therefore, it is very important to make preoperative surgical decisions, evaluate the safety of the operation and identify which patients are likely to suffer from liver failure. The artificial intelligence platform developed by IBM Watson for Watson tumor treatment decisions can provide treatment decisions and corresponding theoretical basis to guide surgical decisions based on the key clinical data of liver cancer patients.
Study Type
OBSERVATIONAL
Enrollment
150
Watson on oncology surgery decision evaluation. The system acquires and evaluates a large amount of structured and unstructured data from previous medical records through machine learning and natural language processing, and USES algorithms to select treatment options as the best choice for a particular patient.
Zhujiang Hospital of Southern Medical University
Guangzhou, Guangdong, China
Operative outcomes
Operative outcomes such as operative time, estimated blood loss and blood transfusion were recorded.
Time frame: intraoperative
Postoperative survival
Survival after hepatectomy
Time frame: 3 years
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.