[HTML][HTML] Artificial intelligence in the diagnosis and treatment of acute appendicitis: a narrative review

V Bianchi, M Giambusso, A De Iacob, MM Chiarello… - Updates in Surgery, 2024 - Springer
Artificial intelligence is transforming healthcare. Artificial intelligence can improve patient
care by analyzing large amounts of data to help make more informed decisions regarding …

[HTML][HTML] Crossroads in liver transplantation: is artificial intelligence the key to donor–recipient matching?

R Calleja Lozano, C Hervás Martínez… - Medicina, 2022 - mdpi.com
Liver transplantation outcomes have improved in recent years. However, with the
emergence of expanded donor criteria, tools to better assist donor–recipient matching have …

[HTML][HTML] Machine learning prediction model for post-hepatectomy liver failure in hepatocellular carcinoma: A multicenter study

J Wang, T Zheng, Y Liao, S Geng, J Li, Z Zhang… - Frontiers in …, 2022 - frontiersin.org
Introduction Post-hepatectomy liver failure (PHLF) is one of the most serious complications
and causes of death in patients with hepatocellular carcinoma (HCC) after hepatectomy …

[HTML][HTML] Predicting safe liver resection volume for major hepatectomy using artificial intelligence

CM Kang, HJ Ku, HH Moon, SE Kim, JH Jo… - Journal of Clinical …, 2024 - mdpi.com
(1) Background: Advancements in the field of liver surgery have led to a critical need for
precise estimations of preoperative liver function to prevent post-hepatectomy liver failure …

[HTML][HTML] Advancements of artificial intelligence in liver-associated diseases and surgery

A Taha, V Ochs, LN Kayhan, B Enodien, DM Frey… - Medicina, 2022 - mdpi.com
Background and Objectives: The advancement of artificial intelligence (AI) based
technologies in medicine is progressing rapidly, but the majority of its real-world applications …

Donor-recipient matching in adult liver transplantation: Current status and advances

C Accardo, I Vella, D Pagano, F di Francesco… - BioScience …, 2023 - jstage.jst.go.jp
The match between donor and recipient (DR match) in the field of liver transplantation (LT) is
one of the most widely debated topics today. Within the cohort of patients waiting for a …

[HTML][HTML] Explainable artificial intelligence prediction-based model in laparoscopic liver surgery for segments 7 and 8: an international multicenter study

V Lopez-Lopez, Z Morise, M Albaladejo-González… - Surgical …, 2024 - Springer
Background Artificial intelligence (AI) is becoming more useful as a decision-making and
outcomes predictor tool. We have developed AI models to predict surgical complexity and …

[HTML][HTML] Machines with vision for intraoperative guidance during gastrointestinal cancer surgery

MU Khalid, S Laplante, A Madani - Frontiers in Medicine, 2022 - frontiersin.org
Gastrointestinal (GI) malignancies represent over 26% of all cancers worldwide and a
disproportionate 35% of all cancer deaths (1). The most common sites of GI cancers include …

[HTML][HTML] Use of machine learning models for identification of predictors of survival and tumour recurrence in liver transplant recipients with hepatocellular carcinoma

M Bezjak, B Kocman, S Jadrijević… - Annals of …, 2023 - ncbi.nlm.nih.gov
Background Hepatocellular carcinoma (HCC) is one of the leading indications for liver
transplantation (LT) however, selection criteria remain controversial. We aimed to identify …

Artificial Intelligence in Perioperative Planning and Management of Liver Resection

S Gairola, SL Solanki, S Patkar, M Goel - Indian Journal of Surgical …, 2024 - Springer
Artificial intelligence (AI) is a speciality within computer science that deals with creating
systems that can replicate the intelligence of a human mind and has problem-solving …