iLIVER Open Access Editor-in-Chief: Jiahong Dong
Home iLIVER Notice List Artificial Intelligence in Liver Diseases
Artificial Intelligence in Liver Diseases

This special issue is focusing on the advance research on the application of artificial intelligence in liver diseases.

Guest editors:

Professor Jie Tian, Beihang University School of Biological Science and Medical, Beijing, China

Dr. Jingwei Wei, Chinese Academy of Sciences Institute of Automation, Beijing, China

Special issue information:

We welcome investigators to contribute with their original research or review articles that will help to advance the application of artificial intelligence in liver diseases.Welcome topics include but are not limited to the following:

  •  Application of machine learning and deep learning in the diagnosis, treatment, and prognosis prediction of liver diseases.
  • Integration of multi-omics data using AI approaches to unravel the molecular mechanisms underlying liver diseases.
  • AI-guided robotic-assisted interventions in liver surgeries.
  • AI-driven drug discovery and repurposing for liver diseases.
    Interpretability and standardization of AI models for liver diseases.
  • Ethical, legal, and social implications of AI in liver diseases.
    Case studies or systematic reviews on AI applications in liver diseases.

Manuscript submission information:

Please read the Guide for Author and submit via https://www.editorialmanager.com/ILIVER/default.aspx

Please register if first time author.

Please choose Article Type Name "VSI: Artificial intelligence and liver disease" at the first step.

Keywords:

Artificial intelligence, machine learning, deep learning, liver diseases, diagnosis, prognosis, image analysis, precision medicine, decision support systems, liver transplantation, drug discovery

Why publish in this Special Issue?

  • Special Issue articles are published together on ScienceDirect, making it incredibly easy for other researchers to discover your work.
  • Special content articles are downloaded on ScienceDirect twice as often within the first 24 months than articles published in regular issues.
  • Special content articles attract 20% more citations in the first 24 months than articles published in regular issues.
  • All articles in this special issue will be reviewed by no fewer than two independent experts to ensure the quality, originality and novelty of the work published.

Check out the FAQs on special issues.

Learn more about the benefits of publishing in a special issue.

Interested in becoming a guest editor? Discover the benefits of guest editing a special issue and the valuable contribution that you can make to your field.