Harnessing the Power of AI for Enhanced Diagnosis and Treatment of Hepatocellular Carcinoma

Abstract

Since its advent, artificial intelligence (AI) has been continuously researched, and substantial progress has been made in many fields, such as the diagnosis and therapies for cancer. Due to the advantages of high efficiency, rapidity, and precision, AI has been increasingly adopted in the medical field to improve patient prognosis and the efficiency of medical procedures. Thus, AI technology has become a powerful driving force and support mechanism in the medical and health industry. Hepatocellular carcinoma (HCC) is the sixth most common cancer and the fourth leading cause of cancer mortality worldwide, with a 5-year relative survival rate of 18%. The early diagnosis and postsurgical treatment of HCC are key factors related to its prognosis, which provides an opportunity for the application of AI in HCC diagnosis and treatment. This review will summarize the application of AI in the diagnosis and treatment of HCC to provide prospects for deeper and wider applications.

Keywords: rtificial intelligence; hepatocellular carcinoma; diagnosis; internet medicine; treatment.

Figure 1.

Graphical summary of AI application in diagnosis and treatment of HCC. AI, artificial intelligence; HCC, hepatocellular carcinoma; CADAP, computer-aided diagnosis algorithm platform; CAD, computer-aided diagnosis; SVM, support vector machine; CT, computed tomography; US, ultrasound; GEP, gene expression programming; MRI, magnetic resonance imaging; FD, fractal dimension; ANN, artificial neural network; DCE, dynamic contrast-enhanced; DWI, diffusion-weighted imaging.