Current Advances in Hepatocellular Carcinoma: Transition from Traditional to Advanced Technology

Introduction: The changing landscape of hepatocellular carcinoma detection and treatment is examined in this study, focusing on recent advancements in therapeutic methods across several stages. Early identification of hepatocellular cancer cells continues to pose a serious threat to human health and is of utmost significance. It is crucial to create a useful signature to diagnose hepatocellular carcinoma early. Methods: Chemotherapy and immunotherapy are high-stage treatment options for hepato-cytes cancer. These treatments can be coupled with nanotechnology to increase effective-ness and minimize adverse effects. Furthermore, immunotherapy and chemotherapy might be combined to increase therapeutic efficacy and overcome resistance. Artificial intelligence technologies have the potential to significantly enhance hepatocellular carcinoma diagnosis and management. Results: Numerous models performed as well as or better than experienced radiologists while indicating the ability to improve radiologists' accuracy, showing encouraging out-comes for applying Artificial Intelligence to hepatocellular carcinoma-related diagnostic tasks. Discussion: Treatment for hepatocellular carcinoma has changed dramatically, moving from traditional techniques to cutting-edge technologies. Precision in diagnosis, prognosis, and treatment has increased due to innovations like molecular diagnostics, tailored medi-cines, and nanotechnology. This change improves patient outcomes and presents encourag-ing avenues for future research and treatment of hepatocellular cancer. Conclusion: Recent advances in imaging techniques, biomarkers, and personalized medi-cine approaches have improved diagnostic accuracy and treatment outcomes. The emer-gence of immunotherapy, targeted therapies, and combination regimens has expanded treat-ment options, offering new hope for patients with advanced disease.