Annals of Surgical Intelligence & Practice (ASIP) is a peer-reviewed, open-access journal that publishes scholarly work focused on the application of data-driven intelligence, technology, and evidence-based methods in surgical practice.

The journal covers clinical, translational, and applied research across surgical disciplines, with particular emphasis on:

• • surgical innovation and technique optimization
  • robotic and minimally invasive surgery
  • image-guided and computer-assisted procedures
  • artificial intelligence and data analytics in surgery
  • perioperative decision support, safety, and outcomes research

ASIP publishes the following article types:

• • Original Research Articles
  • Systematic Reviews and Narrative Reviews
  • Clinical Case Reports and Case Series
  • Technical Notes and Methodological Papers
  • Clinical Perspectives and Editorials (by invitation)

The journal is intended for surgeons, surgical subspecialists, clinician-scientists, biomedical engineers, and healthcare researchers involved in advancing safe, effective, and technology-enabled surgical care.

ASIP is committed to the ethical, transparent, and timely dissemination of rigorously reviewed surgical research that supports reproducibility, clinical relevance, and improved patient outcomes.

Articles are licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Authors retain copyright of their work and grant Zenith Publications a license to publish and disseminate the article.