AASLD Abstract Submission Process 

Overview 

All abstracts are blinded, peer-reviewed and ranked on the basis of scientific merit by experts in the category selected. The AASLD Scientific Program Committee uses these rankings to develop the scientific program of the conference. Abstracts are allocated to short oral plenary and parallel presentations (10-minute presentation plus a 5-minute Q&A period) and poster sessions based on their focus of interest. Authors who do not wish to be considered for oral presentation should check the "Poster Only" option under Step 2: Properties in the online abstract submitter. All abstract presenters must register for the AASLD Annual Meeting. 

AASLD Abstract Review and Selection Policy 

Abstracts are scored by at least four reviewers for each category and ranked according to numerical score. Reviewers are blinded to the author's names and affiliations. Reviewers with conflicts do not score pertinent abstracts. Abstracts are ranked within the category that is selected by the submitter, although if selected, abstracts may be moved into other content areas for presentation. 

Abstracts are selected for oral and poster presentations based on the integration of the abstract subject into sessions within a specific topic, abstract rank, and suitability of the content for presentation. Posters of Distinction are considered to be particularly noteworthy and represent the top 10% of all accepted poster presentations. 

Incomplete Data Sets 

If abstracts contain incomplete data at the time of regular submission, consideration should be given to submitting the complete data as a "late-breaker" for the Annual Meeting. The late-breaking abstract submission period will open mid-September. 

Case Reports 

Novel clinical observations can provide new insight into clinical phenotypes or pathogenesis of disease. Case reports are not frequently submitted to The Liver Meeting® but authors who so choose may submit one using the same guidelines outlined below for standard abstract submission. Case reports will be scored and ranked by the same review team that scores abstract submissions for the category and descriptor selected by the submitting author. 

Encore Abstract Presentations

AASLD does not accept abstracts that have been previously submitted. However, abstracts that include significant new data or substantive findings not presented in the prior submission may be considered for review.

AI Abstract Submission Policy

Authors who use AI tools such as Large Language Models (LLMs), chatbots or image creators in the writing of an abstract, production of images or graphical elements of the abstract, or in the collection and analysis of data, must be transparent in disclosing in the Materials and Methods (or similar section) of the abstract how the AI tool was used and which tool was used.  Authors who use such technology should describe, in their abstract submission, how they used it.  These technologies should only be used to improve readability and language of the work and should not be used to replace researcher responsibilities such as producing scientific insights, analyzing and interpreting data, or drawing conclusions.  These technologies should be applied with human oversight and control, and authors should carefully review and edit the result as AI can generate authoritative-sounding output that may be incorrect, incomplete, or biased.  Authors are fully responsible for the content of their abstract, even those parts produced by an AI tool, and are thus liable for any breach of publication ethics.

Authors should not list AI and AI-assisted technologies as an author or co-author, nor site AI as an author.  Any attribution of authorship carries with it accountability for the work, and AI tools cannot take such responsibility.  

Questions regarding the abstract submission process and related policies can be addressed to education@aasld.org