AIMC Topic: Postoperative Complications
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A preliminary exploration of surgical strategies for solitary papillary thyroid carcinoma on the isthmus.
Oral oncology
Sep 1, 2025
BACKGROUND: For solitary papillary thyroid carcinoma on the isthmic (SPTCI), there are currently no specific guidelines for the extent of resection and lymph node dissection. This study aims to explore the surgical strategies suitable for patients wi...
Prediction model for postoperative urinary retention in patients undergoing totally extraperitoneal groin hernia repair.
Surgery
Sep 1, 2025
BACKGROUND: Postoperative urinary retention remains a common complication after totally extraperitoneal groin hernia repair, often prolonging hospitalization and increasing patient discomfort. This study aimed to develop a prediction model using mach...
From Faster Frames to Flawless Focus: Deep Learning HASTE in Postoperative Single Sequence MRI.
Academic radiology
Sep 1, 2025
BACKGROUND: This study evaluates the feasibility of a novel deep learning-accelerated half-fourier single-shot turbo spin-echo sequence (HASTE-DL) compared to the conventional HASTE sequence (HASTE) in postoperative single-sequence MRI for the detect...
Validation of the ACS-NSQIP surgical risk calculator for patients with paraoesophageal hernias undergoing robotic repair.
Surgical endoscopy
Aug 1, 2025
BACKGROUND: The National Surgical Quality Improvement Program (NSQIP) American College of Surgeons (ACS) risk calculator is a validated method of predicting postoperative complications that was recently updated to a machine-learning structure. The ob...
Development and Validation of Ultrasound Hemodynamic-based Prediction Models for Acute Kidney Injury After Renal Transplantation.
Academic radiology
Aug 1, 2025
RATIONALE AND OBJECTIVES: Acute kidney injury (AKI) post-renal transplantation often has a poor prognosis. This study aimed to identify patients with elevated risks of AKI after kidney transplantation.
Development and Validation of a Machine Learning-Based Predictive Model for Postoperative Frailty in Patients with Non-Small Cell Lung Cancer and Its Relation to Early Recovery.
Annals of surgical oncology
Aug 1, 2025
PURPOSE: This study was designed to evaluate the postoperative frailty status of patients with non-small cell lung cancer, identify influencing factors, establish a machine learning-based prediction model, and explore the correlation between frailty ...
Does alignment alone predict mechanical complications after adult spinal deformity surgery? A machine learning comparison of alignment, bone quality, and soft tissue.
Neurosurgical focus
Jul 1, 2025
OBJECTIVE: Mechanical complications are a vexing occurrence after adult spinal deformity (ASD) surgery. While achieving ideal spinal alignment in ASD surgery is critical, alignment alone may not fully explain all mechanical complications. The authors...
Novel artificial intelligence approach in neurointerventional practice: Preliminary findings on filter movement and ischemic lesions in carotid artery stenting.
Clinical neurology and neurosurgery
Jul 1, 2025
BACKGROUND AND OBJECTIVES: Embolic protection devices (EPDs) used during carotid artery stenting (CAS) are crucial in reducing ischemic complications. Although minimizing the filter-type EPD movement is considered important, limited research has demo...
[Preoperative anal function assessment in sphincter-preserving surgery for rectal cancer: clinical significance and strategies].
Zhonghua wei chang wai ke za zhi = Chinese journal of gastrointestinal surgery
Jun 25, 2025
Sphincter-preserving surgery has become the mainstream approach for mid-to-low rectal cancer, yet postoperative anal dysfunction (low anterior resection syndrome, LARS) occurs in 30%-50% of patients, significantly impacting quality of life. This revi...
From planning to prognosis: predicting renal function after minimally-invasive partial nephrectomy with artificial intelligence.
Minerva urology and nephrology
Jun 1, 2025
This study presents a machine learning model to predict renal function decline following minimally-invasive partial nephrectomy. Using a dataset of 556 patients treated between 2015 and 2023, the model incorporated patient, tumor, and intraoperative ...
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