Sebastian @MdSebaredondo

M2 from University of Puerto Rico School of Medicine | Georgia Institute of Technology ‘23 | Interested in General Surgery Joined May 2026

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山根裕介【surgical educator】 @SurgiTube

a week ago

day534 片手結びの外科結紮。左手underhandと右手overhandの組み合わせです。

山根裕介【surgical educator】 @SurgiTube

2 weeks ago

day533 第一結紮に最適な、パラレル両手結び。右でも左でもできるように練習。

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ABME @ABMEjournal

a week ago

Childbirth-related tissue injuries can have lasting consequences, but the mechanics behind how these tears form and spread remain difficult to study directly. Combining finite element modeling with machine learning, researchers investigated how tear shape and tissue fiber orientation influence stress and strain in vaginal tissue. They simulated a wide range of tear conditions using previously characterized biological tissue data and evaluated four machine learning models for their ability to predict tissue behavior. The Extreme Gradient Boosting model delivered the strongest performance, while sensitivity analysis identified tear orientation as the most important factor driving localized mechanical stress during tissue extension. These findings could help advance faster, data-driven tools for assessing childbirth injury risk and improving maternal care decisions when direct in vivo studies are not feasible. 𝗥𝗲𝗮𝗱 𝗺𝗼𝗿𝗲: link.springer.com/article/10.100… 𝗦𝘁𝘂𝗱𝘆: Machine Learning Prediction of Vaginal Tissue Tears Using Finite Element Simulations Informed by Planar Biaxial Testing 𝗔𝘂𝘁𝗵𝗼𝗿𝘀: Mostafa Zakeri, Justin Krometis, Traian Iliescu, and @devita_vt @virginia_tech @vtengineering @VirginiaTech_ME @vtnsi @VT_Science @VTMathematics 𝗦𝘂𝗯𝗺𝗶𝘁 𝘆𝗼𝘂𝗿 𝗺𝗮𝗻𝘂𝘀𝗰𝗿𝗶𝗽𝘁: link.springer.com/journal/10439

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Annals of Surgery @AnnalsofSurgery

a week ago

Laparoscopic transgastric necrosectomy achieved complete debridement with fewer procedures than direct endoscopic necrosectomy and may reduce length of stay in patients with higher APACHE-II scores. journals.lww.com/annalsofsurger…

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Andras Lasso @lassoan

4 years ago

This is a game changer. Segment 100+ structures in any whole-body CT image in 2 minutes using TotalSegmentator in @3DSlicerApp All free, open-source software. Runs on any computer, no GPU is required. See more information at discourse.slicer.org/t/26710

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ABME @ABMEjournal

2 weeks ago

Hernia repair failures can force people back into repeated surgeries because surgeons still lack precise tools to predict how much tension the abdominal wall can safely withstand during closure. Researchers explored a potential solution by developing a patient-specific computational model that simulated tension changes during transversus abdominis release, a procedure used in complex ventral hernia repair. Using a preoperative CT scan, the study reconstructed abdominal wall structures in 3D and analyzed how successive surgical steps redistributed stress across fascial tissues. The simulations reproduced clinically observed tension-reduction trends, particularly within the posterior rectus sheath, while also identifying model assumptions that may influence prediction accuracy. Biomechanics-informed surgical modeling could help tailor hernia repair strategies, reduce recurrence risk, and support long-term recovery after complex abdominal wall reconstruction. 𝗥𝗲𝗮𝗱 𝗺𝗼𝗿𝗲: link.springer.com/article/10.100… 𝗦𝘁𝘂𝗱𝘆: Patient-Specific Computational Model of Abdominal Wall Simulating Hernia Defect Closure to Predict Tension in the Posterior and Anterior Rectus Sheath 𝗔𝘂𝘁𝗵𝗼𝗿𝘀: Manar Jellal, Arthur Jourdan, Gaëtan-Romain Joliat, Guillaume Passot, and Anicet Le Ruyet @unil @medtronic 𝗦𝘂𝗯𝗺𝗶𝘁 𝘆𝗼𝘂𝗿 𝗺𝗮𝗻𝘂𝘀𝗰𝗿𝗶𝗽𝘁: link.springer.com/journal/10439