AIMC Topic: Liver Diseases
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Estimation of linezolid exposure in patients with hepatic impairment using machine learning based on a population pharmacokinetic model.
European journal of clinical pharmacology
May 8, 2024
PURPOSE: To investigate the pharmacokinetic changes of linezolid in patients with hepatic impairment and to explore a method to predict linezolid exposure.
Author's reply: The importance of professional training to foster the implementation of Artificial Intelligence in the clinical setting of liver diseases.
Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver
Mar 30, 2024
Artificial intelligence in liver imaging: methods and applications.
Hepatology international
Feb 20, 2024
Liver disease is regarded as one of the major health threats to humans. Radiographic assessments hold promise in terms of addressing the current demands for precisely diagnosing and treating liver diseases, and artificial intelligence (AI), which exc...
Artificial intelligence for liver diseases: The urgency of collaboration.
Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver
Jan 29, 2024
Incorporation of quantitative imaging data using artificial intelligence improves risk prediction in veterans with liver disease.
Hepatology (Baltimore, Md.)
Dec 29, 2023
BACKGROUND AND AIMS: Utilization of electronic health records data to derive predictive indexes such as the electronic Child-Turcotte-Pugh (eCTP) Score can have significant utility in health care delivery. Within the records, CT scans contain phenoty...
A commentary on 'Advances in artificial intelligence (AI) based diagnosis and treatment of liver diseases - correspondence'.
International journal of surgery (London, England)
Oct 1, 2023
Advances in artificial intelligence based diagnosis and treatment of liver diseases - Correspondence.
International journal of surgery (London, England)
Oct 1, 2023
Detection and subtyping of hepatic echinococcosis from plain CT images with deep learning: a retrospective, multicentre study.
The Lancet. Digital health
Sep 26, 2023
BACKGROUND: Hepatic echinococcosis is a severe endemic disease in some underdeveloped rural areas worldwide. Qualified physicians are in short supply in such areas, resulting in low rates of accurate diagnosis of this condition. In this study, we aim...
ChatGPT: The transformative influence of generative AI on science and healthcare.
Journal of hepatology
Aug 5, 2023
In an age where technology is evolving at a sometimes incomprehensibly rapid pace, the liver community must adjust and learn to embrace breakthroughs with an open mind in order to benefit from potentially transformative influences on our science and ...
Feature-guided deep learning reduces signal loss and increases lesion CNR in diffusion-weighted imaging of the liver.
Zeitschrift fur medizinische Physik
Aug 4, 2023
PURPOSE: This research aims to develop a feature-guided deep learning approach and compare it with an optimized conventional post-processing algorithm in order to enhance the image quality of diffusion-weighted liver images and, in particular, to red...
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