The integration of artificial intelligence (AI) and augmented realities into the medical field is being attempted by various researchers across the globe. As a matter of fact, most of the advanced technologies utilized by medical providers today have been borrowed and extrapolated from other industries. The introduction of AI into the field of hepatology and liver surgery is relatively a recent phenomenon. The purpose of this narrative review is to highlight the different AI concepts which are currently being tried to improve the care of patients with liver diseases. We end with summarizing emerging trends and major challenges in the future development of AI in hepatology and liver surgery.

Risk of massive intraoperative hemorrhage and the difficulty to control it makes the laparoscopic treatment of giant hepatic hemangiomas (GH) a challenge for minimally invasive hepatobiliary surgeons. Symptomatic GHs of more than 20 cm (extremely giant hepatic hemangiomas) are typically treated with an open resection. There is a paucity of literature on laparoscopic resection of extremely giant hepatic hemangiomas. We describe (with video), here, the technical nuances of pure laparoscopic resection of an extremely giant hepatic hemangioma using modified port positions and the anterior approach.