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  • Machine learning for prediction of postoperative complications after hepato-biliary and pancreatic surgery

    Iestyn M. Shapey, Mustafa Sultan
    Art Int Surg 2023;3:1-13. DOI: 10.20517/ais.2022.31
    Abstract
    Decision making in Hepatobiliary and Pancreatic Surgery is challenging, not least because of the significant ... MORE
    Decision making in Hepatobiliary and Pancreatic Surgery is challenging, not least because of the significant complications that may occur following surgery and the complexity of interventions to treat them. Machine Learning (ML) relates to the use of computer derived algorithms and systems to enhance knowledge in order to facilitate decision making and could be of great benefit to surgical patients. ML could be employed pre- or peri-operatively to shape treatment choices prospectively, or could be utilised in the post-hoc analysis of complications in order to inform future practice. ML could reduce errors by drawing attention to known risks of complications through supervised learning, and gain greater insights by identifying previously under-appreciated aspects of care through unsupervised learning. Accuracy, validity and integrity of data are of fundamental importance if predictive models generated by ML are to be successfully integrated into surgical practice. The choice of appropriate ML models and the interface between ML, traditional statistical methodologies and human expertise will also impact the potential to incorporate data science techniques into daily clinical practice. LESS      Full article
    Review|Published on: 31 Jan 2023
    Full-Text | PDF-349K

  • Artificial intelligence in hepatopancreaticobiliary surgery - promises and perils

    Christina Boutros, ... Daniel A. Hashimoto
    Art Int Surg 2022;2:213-23. DOI: 10.20517/ais.2022.32
    Abstract
    Research and development in artificial intelligence (AI) has been experiencing a resurgence over the past ... MORE
    Research and development in artificial intelligence (AI) has been experiencing a resurgence over the past decade. The rapid growth and evolution of AI approaches can leave one feeling overwhelmed and confused about how these technologies will impact hepatopancreaticobiliary (HPB) surgery, the obstacles to its clinical translation, and the role that HPB surgeons can play in accelerating AI’s development and ultimate clinical impact. This review outlines some of the basic terminology and current approaches in surgical AI, obstacles to further development and translation of AI, and how HPB surgeons can influence its future in surgery. LESS      Full article
    Review|Published on: 30 Dec 2022
    Full-Text | PDF-1M

  • Why Artificial Intelligence Surgery (AIS) is better than current Robotic-Assisted Surgery (RAS)

    Andrew A. Gumbs, Brice Gayet
    Art Int Surg 2022;2:207-12. DOI: 10.20517/ais.2022.41
    Editorial|Published on: 28 Dec 2022
    Full-Text | PDF-1.1M

  • Leveraging artificial intelligence for resident recruitment: can the dream of holistic review be realized?

    Ace St John, Stephen M. Kavic
    Art Int Surg 2022;2:195-206. DOI: 10.20517/ais.2022.24
    Abstract
    Aim: The purpose of this study was to investigate if principles of Artificial Intelligence (AI), ... MORE
    Aim: The purpose of this study was to investigate if principles of Artificial Intelligence (AI), specifically Natural Language Processing (NLP), could be applied to the personal statements of general surgery residency applicants in order to gain valuable insight into the candidates and facilitate a more comprehensive assessment.Methods: The personal statements from individuals applying for a general surgery residency position during the 2021/22 application cycle (n = 1792) were analyzed using AI technology. Comparison groups were drawn from a database of documents from the general population and the personal statements of current general surgery residents (n = 64) at a single academic center. The study was conducted in collaboration with a leading language psychology and natural language processing organization.Results: Applicants exhibited a language-based personality that was highly self-assured (P < 0.0001) and trusting (P < 0.0001), and less stress-prone (P < 0.0001) and impulsive (P < 0.0001) than that of the general population. Compared to the general applicant pool, current residents were significantly more emotionally aware (P < 0.001) and organized (P < 0.001) and less self-assured (P < 0.001) and less driven by power (P < 0.001).Conclusion: Natural language processing technology can be utilized to assess the unique characteristics of general surgery resident applicants based on the content of their personal statements. In addition, candidates who successfully gain admission to a single academic program display different language-based personalities and drives compared to the general applicant pool. Incorporating these principles of artificial intelligence into the residency selection process could facilitate a more holistic evaluation of candidates. LESS      Full article
    Original Article|Published on: 25 Dec 2022
    Full-Text | PDF-2.1M

  • Training in robotic pancreatic surgery

    Sam Body, ... Tamara M.H. Gall
    Art Int Surg 2022;2:186-94. DOI: 10.20517/ais.2022.28
    Abstract
    The aim of this narrative review is to discuss current training for the robotic approach ... MORE
    The aim of this narrative review is to discuss current training for the robotic approach to pancreatic surgery and the potential use of machine learning to progress robotic surgical training. A literature search using PubMed and MEDLINE was conducted to investigate training programmes in robotic pancreatic surgery and advances in the use of artificial intelligence for training. The use of virtual reality can assist novice robotic surgeons in learning basic surgical skills. The use of automated video analytics can also improve surgical education to enable self-directed learning both within and outside the operating room. The emerging role and novel applications of machine learning in robotic surgery could shape future training by aiding the autonomous recognition of anatomical structures in the surgical field, instrument tracking and providing feedback on surgical competence. Training should be standardised to ensure the attainment of assessment benchmarks and include virtual simulation basic training in addition to procedural-specific training. Standardised procedural techniques should be used to improve patient safety, theatre efficiency and the continuation of robotic practice. LESS      Full article
    Review|Published on: 15 Dec 2022
    Full-Text | PDF-414K

  • Mentorship and early career mentorship

    Linda Ferrari, ... Gaya Spolverato
    Art Int Surg 2022;2:177-85. DOI: 10.20517/ais.2022.16
    Abstract
    Mentorship is important for the personal and professional development of a surgeon. Surgical mentoring includes ... MORE
    Mentorship is important for the personal and professional development of a surgeon. Surgical mentoring includes technical and non-technical skills necessary for clinical activities, career improvement, leadership acquisition and research development. Mentors are important in different phases of surgical career, conferring various forms of support. The most delicate period for a surgeon is the transition between the role of trainee and physician, and the first few years are crucial to the trajectory of future career. While in the past, the main limitation for mentorship opportunities was the lack of available mentors at a single institution, more recently, long-distance mentorship opportunities have overcome this barrier. This is of particular importance for women and underrepresented minorities in surgery, who benefit the most from same gender and same ethnicity role model. Furthermore, having the opportunity to establish productive relationships with mentors from other institutions and/or countries will prevent the possibility of leading to dependence between mentee and mentor within a single institution. This review aims to investigate different forms of mentorships, with a specific interest in early career support, long-distance mentorship and opportunities for underrepresented minorities in surgery. LESS      Full article
    Review|Published on:  8 Oct 2022
    Full-Text | PDF-396K
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About The Journal

  • ISSN

    2771-0408 (Online)

    Publisher

    OAE Publishing Inc.

    Article Processing Charges

    $1200

    Manuscript Processing Cycle

    36 days to first decision for all manuscripts

    45 days from submission to acceptance

    20 days from acceptance to publication

  • Editor-in-Chief

    Andrew A. Gumbs

    Publishing Model

    Gold Open Access

    Copyright

    Copyright is retained by author(s)

  • Publication Frequency

    Quarterly

    Indexing

    Google Scholar

    Dimensions

    Lens

    Journal Data Analysis

    Total publications: 27

    Total article views: 35,517

    Total article downloads: 6,335

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