AIMC Topic: Retrospective Studies

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Early prediction of 30-day mortality in patients with surgical wound infections following cardiothoracic surgery: Development and validation of the SWICS-30 score utilizing conventional logistic regression and artificial neural network.

The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases Feb 21, 2025
INTRODUCTION: We aimed to create and validate the 30-day prognostic score for mortality in patients with surgical wound infection (SWICS-30) after cardiothoracic surgery.
Cardiac Surgical Procedures Surgical Wound Infection Middle Aged Risk Assessment Prognosis Adolescent Retrospective Studies Hospital Mortality Aged, 80 and over Female Logistic Models Risk Factors Young Adult Aged Adult Humans Male Neural Networks, Computer
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Artificial intelligence-based model to predict recurrence after local excision in T1 rectal cancer.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology Feb 20, 2025
BACKGROUND: According to current guideline, patients with resected specimens showing high-risk features are recommended additional surgery after local excision (LE) of T1 colorectal cancer, despite the low incidence of recurrence. However, surgical r...
Humans Neural Networks, Computer Artificial Intelligence Retrospective Studies ROC Curve Neoplasm Staging Neoplasm Recurrence, Local Rectal Neoplasms Proctectomy Female Aged Male Middle Aged Risk Assessment
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Machine Learning-Driven Modeling to Predict Postdischarge Venous Thromboembolism After Pancreatectomy for Pancreas Cancer.

Annals of surgical oncology Feb 20, 2025
BACKGROUND: Postdischarge venous thromboembolism (pdVTE) is a life-threatening complication following resection for pancreatic cancer (PC). While national guidelines recommend extended chemoprophylaxis for all, adherence is low and ranges from 1.5 to...
Male Middle Aged Postoperative Complications Follow-Up Studies Decision Trees Pancreatic Neoplasms Patient Discharge Venous Thromboembolism Pancreatectomy Prognosis Retrospective Studies Female Risk Factors Aged Humans Machine Learning
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Use of a Convolutional Neural Network to Predict the Response of Diabetic Macular Edema to Intravitreal Anti-VEGF Treatment: A Pilot Study.

American journal of ophthalmology Feb 20, 2025
PURPOSE: To utilize a convolutional neural network (CNN) to predict the response of treatment-naïve diabetic macular edema (DME) to a single injection of anti-vascular endothelial growth factor (anti-VEGF) with data from optical coherence tomography ...
Ranibizumab Bevacizumab Pilot Projects Angiogenesis Inhibitors Female Visual Acuity Treatment Outcome Humans Aged Tomography, Optical Coherence Diabetic Retinopathy Follow-Up Studies Male Macular Edema Neural Networks, Computer Middle Aged Vascular Endothelial Growth Factor A Retrospective Studies Convolutional Neural Networks Intravitreal Injections
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T2-weighted imaging of rectal cancer using a 3D fast spin echo sequence with and without deep learning reconstruction: A reader study.

Journal of applied clinical medical physics Feb 20, 2025
PURPOSE: To compare image quality and clinical utility of a T2-weighted (T2W) 3-dimensional (3D) fast spin echo (FSE) sequence using deep learning reconstruction (DLR) versus conventional reconstruction for rectal magnetic resonance imaging (MRI).
Rectal Neoplasms Deep Learning Imaging, Three-Dimensional Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Retrospective Studies Female Aged Aged, 80 and over Adult Male Middle Aged
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Predicting hepatocellular carcinoma survival with artificial intelligence.

Scientific reports Feb 20, 2025
Despite the extensive research on hepatocellular carcinoma (HCC) exploring various treatment strategies, the survival outcomes have remained unsatisfactory. The aim of this research was to evaluate the ability of machine learning (ML) methods in pred...
Male Retrospective Studies Middle Aged Female Humans Liver Neoplasms Aged Carcinoma, Hepatocellular Artificial Intelligence Adult Neoplasm Staging Machine Learning Survival Rate Prognosis
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Artificial intelligence algorithm for preoperative prediction of FIGO stage in ovarian cancer based on clinical features integrated 18F-FDG PET/CT metabolic and radiomics features.

Journal of cancer research and clinical oncology Feb 20, 2025
PURPOSE: The International Federation of Gynecology and Obstetric (FIGO) stage is critical to guiding the treatments of ovarian cancer (OC). We tried to develop a model to predict the FIGO stage of OC through machine learning algorithms with patients...
Fluorodeoxyglucose F18 Middle Aged Ovarian Neoplasms Positron Emission Tomography Computed Tomography Humans Neoplasm Staging Artificial Intelligence Radiopharmaceuticals Machine Learning Algorithms Female Retrospective Studies Aged Adult Radiomics
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Robust and generalizable artificial intelligence for multi-organ segmentation in ultra-low-dose total-body PET imaging: a multi-center and cross-tracer study.

European journal of nuclear medicine and molecular imaging Feb 19, 2025
PURPOSE: Positron Emission Tomography (PET) is a powerful molecular imaging tool that visualizes radiotracer distribution to reveal physiological processes. Recent advances in total-body PET have enabled low-dose, CT-free imaging; however, accurate o...
Whole Body Imaging Male Radioactive Tracers Deep Learning Humans Image Processing, Computer-Assisted Artificial Intelligence Positron-Emission Tomography Retrospective Studies Radiation Dosage Female
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Prediction of adverse pathology in prostate cancer using a multimodal deep learning approach based on [F]PSMA-1007 PET/CT and multiparametric MRI.

European journal of nuclear medicine and molecular imaging Feb 19, 2025
PURPOSE: Accurate prediction of adverse pathology (AP) in prostate cancer (PCa) patients is crucial for formulating effective treatment strategies. This study aims to develop and evaluate a multimodal deep learning model based on [F]PSMA-1007 PET/CT ...
Niacinamide Humans Multiparametric Magnetic Resonance Imaging Retrospective Studies Aged Positron Emission Tomography Computed Tomography Male Prostatic Neoplasms Middle Aged Fluorine Radioisotopes Deep Learning Oligopeptides Multimodal Imaging
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CT-Based Machine Learning Radiomics Analysis to Diagnose Dysthyroid Optic Neuropathy.

Seminars in ophthalmology Feb 19, 2025
PURPOSE: To develop CT-based machine learning radiomics models used for the diagnosis of dysthyroid optic neuropathy (DON).
Humans Machine Learning Graves Ophthalmopathy Radiomics Male Middle Aged ROC Curve Optic Nerve Diseases Retrospective Studies Tomography, X-Ray Computed Female Aged Adult
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