Artificial Intelligence and Precision Medicine: Outcome of Immunotherapy in Hepatocellular Carcinoma

Abstract

The large amount of data collection coupled with the time-consuming nature of traditional methods of data analysis hinder the advancement of disease diagnosis and treatment. Precision medicine and personalized patient care approaches have positively impacted treatment. The utilization of artificial intelligence (AI), which ranges from deep learning to machine learning, may assist in accomplishing the purpose set out by precision medicine. AI creates greater efficiency in terms of the analysis and organization of "big data," while also facilitating the improvement of ultrasound techniques such as enhancing image processing. We have selected hepatocellular carcinoma (HCC) as an example to illustrate the role of AI and precision medicine. The use of AI can play a prominent role in biomarker exploration as it aids in the recognition of HCC, helps to reconstruct electronic health records, and can determine the outcome of therapy such as immunotherapy for HCC. The evolving role of AI within precision medicine and other facets of the treatment of HCC are reviewed in this report.