Bowel obstruction: signs indicating the need for urgent surgery

Corral, Javier; Rojo, C Niño; Olmos, R de la Fuente

doi:10.1016/j.rxeng.2022.09.007

Cited by 1 publication

(2 citation statements)

References 25 publications

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“…CT scans excel in delineating transition zones, detecting tumours, and uncovering complexities such as bridging or internal herniation. 5,6 This advanced imaging modality equips surgeons with a clearer perspective, enabling well-informed decisions regarding treatment strategies.…”

Section: Introductionmentioning

confidence: 99%

“…Complex cases often necessitate supplementary tools, such as contrast‐enhanced CT scans, to delve deeper into the intricacies of the obstruction, accurately pinpoint its location and illuminate potential complications. CT scans excel in delineating transition zones, detecting tumours, and uncovering complexities such as bridging or internal herniation 5,6 . This advanced imaging modality equips surgeons with a clearer perspective, enabling well‐informed decisions regarding treatment strategies.…”

Section: Introductionmentioning

confidence: 99%

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Unveiling new patterns: A surgical deep learning model for intestinal obstruction management

Tatar,

Akay,

Tatar

et al. 2024

Robotics Computer Surgery

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BackgroundSwift and accurate decision‐making is pivotal in managing intestinal obstructions. This study aims to integrate deep learning and surgical expertise to enhance decision‐making in intestinal obstruction cases.MethodsWe developed a deep learning model based on the YOLOv8 framework, trained on a dataset of 700 images categorised into operated and non‐operated groups, with surgical outcomes as ground truth. The model's performance was evaluated through standard metrics.ResultsAt a confidence threshold of 0.5, the model demonstrated sensitivity of 83.33%, specificity of 78.26%, precision of 81.7%, recall of 75.1%, and mAP@0.5 of 0.831.ConclusionsThe model exhibited promising outcomes in distinguishing operative and nonoperative management cases. The fusion of deep learning with surgical expertise enriches decision‐making in intestinal obstruction management. The proposed model can assist surgeons in intricate scenarios such as intestinal obstruction management and promotes the synergy between technology and clinical acumen for advancing patient care.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%