Background: Hepato-Pancreato-Biliary (HPB) surgery is a complex specialty and Artificial Intelligence (AI) applications have the potential to improve pre- intra- and postoperative outcomes of HPB surgery. While ethics guidelines have been developed for the use of AI in clinical surgery, the ethical implications and reliability of AI in HPB surgery remain specifically unexplored.
Methods: An online survey was developed by the Innovation Committee of the E-AHPBA to investigate the current perspectives on the ethical principles and trustworthiness of AI in HPB Surgery among E-AHPBA membership. The survey consisted of 22 questions, based on guidelines outlined by the Artificial Intelligence Surgery Journal Task Force on AI Ethics in clinical surgery and was disseminated via email to all E-AHPBA members.
Results: A total of 84 members of the E-AHPBA participated in the survey. Seventeen out of 22 questions achieved more than 80 % agreement, with nine of those exceeding 90 %. Five questions had agreement levels between 70 % and 80 %.
Conclusion: While HPB surgeons are aware of the need to regulate the use of AI devices, robots, and to protect patient data, consensus appears to be heterogeneous regarding AI's role in mitigating gender-related and minority biases, as well as ensuring fairness and equity.
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http://dx.doi.org/10.1016/j.hpb.2024.12.016 | DOI Listing |
JSLS
January 2025
Colon and Rectum Surgery, Clinical Assistant Professor WSUCOM/MSUCHM, Department of Surgery, Ascension Providence Hospital-Michigan State University/College of Human Medicine, Southfield, MI. (Dr. Bhullar).
Background: Orthotopic murine models of pancreatic cancer represent an important tool for evaluating treatment strategies. Several genetically modified mouse tumors and xenograft models have been reported. Genetic models have unpredictable growth and variable waiting period, while orthotopic models are operative ones, difficult to create and result in irregular metastasis.
View Article and Find Full Text PDFBackground: Colorectal cancer most commonly metastasizes to the liver. While various treatment strategies have been developed, surgical management of these patients has vital implications on the prognosis and survival of this group of patients. There remains a need for a consensus guideline regarding the surgical evaluation and management of patients with colorectal liver metastases (CRLM).
View Article and Find Full Text PDFHPB (Oxford)
January 2025
Amsterdam UMC, Location University of Amsterdam, Department of Surgery, Amsterdam, the Netherlands; Cancer Center Amsterdam, Amsterdam, the Netherlands; Amsterdam Center for Endocrine and Neuroendocrine Tumors (ACcENT), Amsterdam, the Netherlands. Electronic address:
Background: Pancreatic resections for pancreatic neuroendocrine tumors (pNET) may experience a higher complication rate than for pancreatic ductal adenocarcinoma (PDAC). This study aimed to determine the rate of the novel composite "Ideal Outcome" measure after resection for pNET, using PDAC as reference.
Methods: This observational cohort study included all consecutive patients after pancreatic resection for pNET and PDAC using the nationwide Dutch Pancreatic Cancer Audit (2014-2021).
HPB (Oxford)
December 2024
Department of Advanced & Minimally Invasive Surgery, American Hospital of Tbilisi, 17 Ushangi Chkheidze Street, Tbilisi 0102, Georgia. Electronic address:
Background: Hepato-Pancreato-Biliary (HPB) surgery is a complex specialty and Artificial Intelligence (AI) applications have the potential to improve pre- intra- and postoperative outcomes of HPB surgery. While ethics guidelines have been developed for the use of AI in clinical surgery, the ethical implications and reliability of AI in HPB surgery remain specifically unexplored.
Methods: An online survey was developed by the Innovation Committee of the E-AHPBA to investigate the current perspectives on the ethical principles and trustworthiness of AI in HPB Surgery among E-AHPBA membership.
HPB (Oxford)
January 2025
Hampshire Hospitals NHS Foundation Trust, Basingstoke, United Kingdom.
Background: The optimal strategy for patients with colorectal liver metastases (CRLM) is unclear. The Precision1 prospective, observational trial assessed whether pre-operative functional imaging and whole genome sequencing (WGS), could enhance individualized decision-making.
Methods: Patients with CRLM considered for hepatectomy were recruited.
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