Announcement of Artificial Intelligence Surgery 2022 Best Paper Award
We are pleased to announce the "Artificial Intelligence Surgery 2022 Best Paper Award". The paper will be selected from the original articles and reviews published in Artificial Intelligence Surgery from January 1st, 2022 to December 31st, 2022. The award aims to recognize and encourage high-quality contributions to academic research. One article will be selected for this award after a thorough evaluation by the Scientific Committee of Artificial Intelligence Surgery led by the Editor-in-Chief. The winner will be announced by the end of December 2023.
"The Best Paper" will be evaluated comprehensively from three aspects: the review report submitted by reviewers, the comprehensive evaluation by the Scientific Committee, and the number of citations (Data Source: Google Scholar).
Eligibility Requirements:-Submission Deadline: January 1st, 2022 to December 31st, 2022;
-Publication Deadline: before March 31st, 2023;
Both regular and Special Issue submissions will be considered.
The paper will be selected by the Artificial Intelligence Surgery Scientific Committee according to the following criteria:
-Overall value to scientific research;
-Originality in the research objectives;
-Novelty in the opinions or the research approaches;
-Significance to the research field and interest to readers;
-Scientific soundness and data quality;
-Number of citations both in 2022 and 2023.
- $ 1000
- Winner will receive an official award certificate signed by Editor-in-Chief
Artificial Intelligence Surgery
Make a Contribution
Artificial Intelligence Surgery (AIS, Online ISSN: 2771-0408) is an international peer-reviewed, gold open access, online academic journal founded by OAE Publishing Inc. in March 2021. The journal focuses on the interface of computers and the art of surgery. The journal plans to create a space for discourse in terms of topics related to artificial intelligence (AI) in surgery, such as smart surgical technology/digital surgery, computer-assisted surgical systems, and surgical data science.