Application of Watson for Oncology in Hepatocellular Carcinoma Surgery

Study Overview
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Brief Summary
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The aim of this study was to evaluate the surgical decisions of Watson artificial intelligence in patients with hepatocellular carcinoma.

Detailed Description
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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.

Official Title
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Application of Watson for Oncology in Hepatocellular Carcinoma Surgery

Conditions
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Liver Resection

Intervention / Treatment
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* Other: Watson on oncology surgery decision evaluation


Participation Criteria
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Eligibility Criteria
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Inclusion Criteria: 18 years≤ Age ≤80 years Compling with the diagnosis criteria of complex hepatic carcinoma. Primary hepatic carcinoma without intrahepatic or extrahepatic extensive cancer metastasis, the metastatic hepatic carcinoma whose primary focal has been controlled Preoperative liver function is Child - Pugh grade A or B. The patients are volunteered for the study. Exclusion Criteria: Patients with mental illness. Patients can't tolerate the operation owe to a variety of basic diseases (such as severe cardiopulmonary insufficiency, renal insufficiency, cachexia and blood system diseases, etc.) The patients refused to take part in the study. There are other co-existed malignant tumors. Benign liver diseases

Ages Eligible for Study
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Minimum Age: 18 Years
Maximum Age: 80 Years

Sexes Eligible for Study
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All

Accepts Healthy Volunteers
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No

Study Plan
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How is the study designed?
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Arms and Interventions

| Participant Group/Arm | Intervention/Treatment |
| --- | --- |
| Watson on oncology recommends surgery<br> | Other: Watson on oncology surgery decision evaluation<br>* 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.<br>|
| Watson on oncology does not recommend surgery<br> | Other: Watson on oncology surgery decision evaluation<br>* 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.<br>|

What is the study measuring?
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Primary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| Operative outcomes | Operative outcomes such as operative time, estimated blood loss and blood transfusion were recorded. | intraoperative | 

Secondary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| Postoperative survival | Survival after hepatectomy | 3 years | 

 Terms related to the study
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Keywords Provided by Centre Hospitalier Valida
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Watson artificial intelligence, hepatocellular carcinoma, surgical decisions