Artificial Intelligence in the Evolution of Interventional Therapy for Liver Cancer: Navigating the Tumor...

Area of Science:

• Oncology
• Medical Imaging
• Artificial Intelligence

Background:

• Hepatocellular carcinoma (HCC) is a major global health concern.
• The tumor microenvironment (TME) significantly influences HCC progression and treatment resistance.
• Interventional therapies are crucial for unresectable liver cancer.

Purpose of the Study:

• To review modern interventional therapies for liver cancer.
• To highlight advances in minimally invasive procedures and AI integration.
• To explore the role of the TME and AI in personalizing HCC treatment.

Main Methods:

• Literature review of interventional therapies for liver cancer.
• Analysis of the liver tumor microenvironment (TME) and its components.
• Discussion of artificial intelligence (AI) applications in TME characterization and treatment personalization.

Main Results:

• AI integration enhances precision and personalization in interventional liver cancer therapies.
• Understanding TME complexity is key to predicting treatment response.
• AI can decipher TME intricacies to guide patient categorization and treatment selection.

Conclusions:

• AI-powered analysis of the TME offers significant potential to improve liver cancer management.
• Personalized interventional strategies informed by AI and TME insights can enhance patient outcomes.
• Further research into AI-TME interactions is crucial for advancing HCC care.