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Revolutionizing Pancreatic Cancer Surgery: A Comparative Analysis of Metropancrease AI Tool versus Traditional Methods

Author(s): Syed Owais Akhtar, Aliu Olalekan Olatunji, Dong Hwi Kim, Amina Yousaf Bajwa, Khunsha Mujaddadi, Adees Wirtan Sarkees Bedros, Eiman Zehra, Shabee ul Hassan, Muhammad Maqbool, Bacha Zada

Pancreatic cancer remains a formidable challenge in oncology, characterized by its aggressive nature and high mortality rates. Surgical resection, often involving pancreatoduodenectomy, offers the best chance of long-term survival. However, traditional surgical approaches are associated with significant morbidity and limitations in achieving complete tumor removal. The emergence of artificial intelligence has paved the way for innovative tools like Metropancrease, which aims to revolutionize pancreatic cancer surgery. This study aims to conduct a comprehensive comparative analysis of the Metropancrease AI tool against traditional methods in pancreatic cancer surgery. We will delve into the following key aspects: Preoperative Planning: We will compare the accuracy and efficiency of Metropancrease in tumor segmentation, identification of critical anatomical structures, and surgical planning compared to conventional imaging modalities and surgeon expertise. Intraoperative Guidance: This section will evaluate the real-time guidance provided by Metropancrease during surgery, assessing its impact on surgical precision, lymph node dissection, and margin assessment. We will compare these outcomes with traditional surgical techniques. Postoperative Outcomes: We will analyze the postoperative outcomes of patients who underwent surgery assisted by Metropancrease versus those who underwent traditional surgery. This analysis will encompass parameters such as surgical morbidity, length of hospital stay, and overall survival rates. Limitations and Future Directions: This section will critically evaluate the limitations of both Metropancrease and traditional methods, highlighting areas for further research and development. By conducting this comparative analysis, this study aims to provide valuable insights into the potential benefits and limitations of the Metropancrease AI tool in revolutionizing pancreatic cancer surgery. The findings will contribute to the growing body of evidence supporting the integration of AI in surgical oncology, ultimately aiming to improve patient outcomes.

Journal Statistics

Impact Factor: * 4.1

CiteScore: 2.9

Acceptance Rate: 74.74%

Time to first decision: 10.4 days

Time from article received to acceptance: 2-3 weeks

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