AIMC Topic: Liver Transplantation
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Reply: ChatGPT and unknown clinical questions about liver transplantation.
Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society
Oct 9, 2023
Letter to the Editor: ChatGPT and unknown clinical questions about liver transplantation.
Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society
Oct 9, 2023
Development of a Radiomics-Based Model to Predict Graft Fibrosis in Liver Transplant Recipients: A Pilot Study.
Transplant international : official journal of the European Society for Organ Transplantation
Sep 1, 2023
Liver Transplantation is complicated by recurrent fibrosis in 40% of recipients. We evaluated the ability of clinical and radiomic features to flag patients at risk of developing future graft fibrosis. CT scans of 254 patients at 3-6 months post-live...
Quality of ChatGPT Responses to Questions Related To Liver Transplantation.
Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract
May 30, 2023
A deep learning framework for personalised dynamic diagnosis of graft fibrosis after liver transplantation: a retrospective, single Canadian centre, longitudinal study.
The Lancet. Digital health
May 18, 2023
BACKGROUND: Recurrent graft fibrosis after liver transplantation can threaten both graft and patient survival. Therefore, early detection of fibrosis is essential to avoid disease progression and the need for retransplantation. Non-invasive blood-bas...
Total robot-assisted recipient's surgery in living donor liver transplantation: First step towards the future.
Journal of hepato-biliary-pancreatic sciences
Mar 23, 2023
Lee and colleagues describe a groundbreaking total robot-assisted explant hepatectomy followed by robotic engraftment for a patient requiring a living donor liver transplant. This report represents a crucial step towards implementing robot-assisted l...
Machine learning improves the accuracy of graft weight prediction in living donor liver transplantation.
Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society
Jan 17, 2023
Precise graft weight (GW) estimation is essential for planning living donor liver transplantation to select grafts of adequate size for the recipient. This study aimed to investigate whether a machine-learning model can improve the accuracy of GW est...
Crossroads in Liver Transplantation: Is Artificial Intelligence the Key to Donor-Recipient Matching?
Medicina (Kaunas, Lithuania)
Nov 28, 2022
Liver transplantation outcomes have improved in recent years. However, with the emergence of expanded donor criteria, tools to better assist donor-recipient matching have become necessary. Most of the currently proposed scores based on conventional b...
Deep learning and the future of the Model for End-Stage Liver Disease-sodium score.
Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society
May 4, 2022
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