AIMC Topic: Retrospective Studies

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Indication model for laparoscopic repeat liver resection in the era of artificial intelligence: machine learning prediction of surgical indication.

HPB : the official journal of the International Hepato Pancreato Biliary Association Mar 4, 2025
BACKGROUND: Laparoscopic repeat liver resection (LRLR) is still a challenging technique and requires a careful selection of indications. However, the current difficulty scoring system is not suitable for selecting indications. The purpose of this stu...
Machine Learning Hepatectomy Aged Reoperation Male Retrospective Studies Conversion to Open Surgery Middle Aged Female Liver Neoplasms Risk Assessment Risk Factors Laparoscopy Humans
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Discovery of mutations predictive of survival benefit from immunotherapy in first-line NSCLC: A retrospective machine learning study of IMpower150 liquid biopsy data.

Computers in biology and medicine Mar 4, 2025
Predictive biomarker identification in cancer treatment has traditionally relied on pre-defined analyses, limiting discoveries to expected biomarkers and potentially overlooking novel ones predictive of therapy response. In this work, we develop a no...
Immunotherapy Antineoplastic Combined Chemotherapy Protocols Carcinoma, Non-Small-Cell Lung Randomized Controlled Trials as Topic Biomarkers, Tumor Male Middle Aged Lung Neoplasms Bevacizumab Mutation Retrospective Studies Paclitaxel Liquid Biopsy Female Humans Clinical Trials, Phase III as Topic Aged Machine Learning
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Deep Learning-Based ASPECTS Algorithm Enhances Reader Performance and Reduces Interpretation Time.

AJNR. American journal of neuroradiology Mar 4, 2025
BACKGROUND AND PURPOSE: ASPECTS is a long-standing and well-documented selection criterion for acute ischemic stroke treatment; however, the interpretation of ASPECTS is a challenging and time-consuming task for physicians with notable interobserver ...
Algorithms Retrospective Studies Reproducibility of Results Deep Learning Ischemic Stroke Humans Radiographic Image Interpretation, Computer-Assisted Observer Variation Computed Tomography Angiography
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CT Differentiation and Prognostic Modeling in COVID-19 and Influenza A Pneumonia.

Academic radiology Mar 3, 2025
RATIONALE AND OBJECTIVES: This study aimed to compare CT features of COVID-19 and Influenza A pneumonia, develop a diagnostic differential model, and explore a prognostic model for lesion resolution.
Retrospective Studies Tomography, X-Ray Computed Female SARS-CoV-2 Aged Humans Machine Learning COVID-19 Prognosis Lung Influenza A virus Aged, 80 and over Nomograms Adult Diagnosis, Differential Male Influenza, Human Middle Aged
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Using Machine Learning to Predict Outcomes Following Thoracic and Complex Endovascular Aortic Aneurysm Repair.

Journal of the American Heart Association Mar 3, 2025
BACKGROUND: Thoracic endovascular aortic repair (TEVAR) and complex endovascular aneurysm repair (EVAR) are complex procedures that carry a significant risk of complications. While risk prediction tools can aid in clinical decision making, they remai...
Risk Assessment Postoperative Complications Treatment Outcome Predictive Value of Tests Risk Factors Aged Aged, 80 and over Male Aortic Aneurysm, Thoracic Blood Vessel Prosthesis Implantation Endovascular Procedures Databases, Factual Retrospective Studies Female Humans Machine Learning
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Machine Learning-Based Prediction of Early Complications Following Surgery for Intestinal Obstruction: Multicenter Retrospective Study.

Journal of medical Internet research Mar 3, 2025
BACKGROUND: Early complications increase in-hospital stay and mortality after intestinal obstruction surgery. It is important to identify the risk of postoperative early complications for patients with intestinal obstruction at a sufficiently early s...
Middle Aged Postoperative Complications ROC Curve Risk Factors Intestinal Obstruction Humans Aged Machine Learning Adult Retrospective Studies Male Female
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Machine learning for the rElapse risk eValuation in acute biliary pancreatitis: The deep learning MINERVA study protocol.

World journal of emergency surgery : WJES Mar 3, 2025
BACKGROUND: Mild acute biliary pancreatitis (MABP) presents significant clinical and economic challenges due to its potential for relapse. Current guidelines advocate for early cholecystectomy (EC) during the same hospital admission to prevent recurr...
Pancreatitis Deep Learning Acute Disease Italy Female Recurrence Adult Male Risk Assessment Humans Machine Learning Prospective Studies Retrospective Studies
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Leveraging machine learning for duration of surgery prediction in knee and hip arthroplasty - a development and validation study.

BMC medical informatics and decision making Mar 3, 2025
BACKGROUND: Duration of surgery (DOS) varies substantially for patients with hip and knee arthroplasty (HA/KA) and is a major risk factor for adverse events. We therefore aimed (1) to identify whether machine learning can predict DOS in HA/KA patient...
Humans Machine Learning Retrospective Studies Male Middle Aged Time Factors Female Aged Arthroplasty, Replacement, Knee Arthroplasty, Replacement, Hip
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Utilization of non-invasive ventilation before prehospital emergency anesthesia in trauma - a cohort analysis with machine learning.

Scandinavian journal of trauma, resuscitation and emergency medicine Mar 3, 2025
BACKGROUND: For preoxygenation, German guidelines consider non-invasive ventilation (NIV) as a possible method in prehospital trauma care in the absence of aspiration, severe head or face injuries, unconsciousness, or patient non-compliance. As data ...
Cohort Studies Emergency Medical Services Registries Anesthesia Noninvasive Ventilation Retrospective Studies Humans Germany Adult Female Machine Learning Wounds and Injuries Male Middle Aged
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Development and validation of a deep learning algorithm for prediction of pediatric recurrent intussusception in ultrasound images and radiographs.

BMC medical imaging Mar 3, 2025
PURPOSES: To develop a predictive model for recurrent intussusception based on abdominal ultrasound (US) images and abdominal radiographs.
ROC Curve Recurrence Intussusception Radiography, Abdominal Humans Deep Learning Retrospective Studies Algorithms Child, Preschool Child Female Ultrasonography Male Infant
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