AIMC Topic: Retrospective Studies

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FT-GAT: Graph neural network for predicting spontaneous breathing trial success in patients with mechanical ventilation.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVES: Intensive care unit (ICU) physicians perform weaning procedures considering complex clinical situations and weaning protocols; however, liberating critical patients from mechanical ventilation (MV) remains challenging. Ther...

Jejunum Patch Technique During Robot-Assisted Central Pancreatectomy: A Lesson from Open Procedure Experience.

Annals of surgical oncology
BACKGROUND: Central pancreatectomy (CP) has been established as the most common type of parenchyma-sparing pancreatectomy; however, CP is associated with higher morbidity and a higher pancreatic fistula (PF) rate than distal pancreatectomy or pancrea...

Deep Learning Versus Neurologists: Functional Outcome Prediction in LVO Stroke Patients Undergoing Mechanical Thrombectomy.

Stroke
BACKGROUND: Despite evolving treatments, functional recovery in patients with large vessel occlusion stroke remains variable and outcome prediction challenging. Can we improve estimation of functional outcome with interpretable deep learning models u...

CT Angiography Radiomics Combining Traditional Risk Factors to Predict Brain Arteriovenous Malformation Rupture: a Machine Learning, Multicenter Study.

Translational stroke research
This study aimed to develop a machine learning model for predicting brain arteriovenous malformation (bAVM) rupture using a combination of traditional risk factors and radiomics features. This multicenter retrospective study enrolled 586 patients wit...

Robot-assisted spinal augmentation procedures: is it worth the increased effort?

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society
PURPOSE: Spinal augmentation procedures (SAP) are standard procedures for vertebral compression fractures. Often, SAPs are carried out in a minimally invasive, percutaneous way. Certain anatomic conditions such as small pedicles or kyphotic deformiti...

Quadrifecta outcomes and their predictors following robotic radical prostatectomy: a study of newly established robotic center in India.

Journal of robotic surgery
Active surveillance (AS), radical prostatectomy (RP), and radical radiotherapy (RT) are the three options for localized prostate cancer. Only a few studies have been conducted in developing countries or in centers in their initial learning curve that...

Application of machine learning to predict postoperative gastrointestinal bleed in bariatric surgery.

Surgical endoscopy
BACKGROUND: Postoperative gastrointestinal bleeding (GIB) is a rare but serious complication of bariatric surgery. The recent rise in extended venous thromboembolism regimens as well as outpatient bariatric surgery may increase the risk of postoperat...

Pediatric Single-Incision Robotic Cholecystectomy: A 6-Year Update from a Single Institution.

Journal of laparoendoscopic & advanced surgical techniques. Part A
In children, gallbladder disease has become more common due to the rise in childhood obesity and subsequent shift in etiology. While the gold standard of surgical management remains a laparoscopic technique, there has been increasing interest in rob...

Development and clinical validation of deep learning for auto-diagnosis of supraspinatus tears.

Journal of orthopaedic surgery and research
BACKGROUND: Accurately diagnosing supraspinatus tears based on magnetic resonance imaging (MRI) is challenging and time-combusting due to the experience level variability of the musculoskeletal radiologists and orthopedic surgeons. We developed a dee...