AIMC Topic: Follow-Up Studies

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Metastatic Lung Lesion Changes in Follow-up Chest CT: The Advantage of Deep Learning Simultaneous Analysis of Prior and Current Scans With SimU-Net.

Journal of thoracic imaging Mar 1, 2025
PURPOSE: Radiological follow-up of oncology patients requires the detection of metastatic lung lesions and the quantitative analysis of their changes in longitudinal imaging studies. Our aim was to evaluate SimU-Net, a novel deep learning method for ...
Lung Neoplasms Follow-Up Studies Radiographic Image Interpretation, Computer-Assisted Radiography, Thoracic Humans Tomography, X-Ray Computed Female Aged Male Middle Aged Lung Deep Learning
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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...
Patient Discharge Venous Thromboembolism Humans Postoperative Complications Pancreatectomy Machine Learning Follow-Up Studies Prognosis Decision Trees Retrospective Studies Pancreatic Neoplasms Female Risk Factors Aged Male Middle Aged
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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 ...
Humans Diabetic Retinopathy Neural Networks, Computer Retrospective Studies Female Aged Male Middle Aged Tomography, Optical Coherence Bevacizumab Convolutional Neural Networks Angiogenesis Inhibitors Macular Edema Pilot Projects Treatment Outcome Vascular Endothelial Growth Factor A Follow-Up Studies Intravitreal Injections Visual Acuity Ranibizumab
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Prediction of 90 day mortality in elderly patients with acute HF from e-health records using artificial intelligence.

ESC heart failure Feb 13, 2025
AIMS: Mortality risk after hospitalization for heart failure (HF) is high, especially in the first 90 days. This study aimed to construct a model automatically predicting 90 day post-discharge mortality using electronic health record (EHR) data 48 h ...
Heart Failure France Time Factors ROC Curve Follow-Up Studies Acute Disease Prognosis Retrospective Studies Electronic Health Records Female Hospitalization Aged Aged, 80 and over Survival Rate Male Risk Assessment Humans Artificial Intelligence
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Prognostic Implications of Machine Learning Algorithm-Supported Diagnostic Classification of Myocardial Injury Using the Fourth Universal Definition of Myocardial Infarction.

Heart, lung & circulation Feb 13, 2025
BACKGROUND: With widespread adoption of high-sensitivity troponin assays, more individuals with myocardial injury are now identified, with type 1 myocardial infarction (T1MI) being less common despite having the most well-established evidence base to...
Humans Machine Learning Algorithms Male Middle Aged Follow-Up Studies Myocardial Infarction Prognosis Retrospective Studies Female Aged Survival Rate
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Developing approaches to incorporate donor-lung computed tomography images into machine learning models to predict severe primary graft dysfunction after lung transplantation.

American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons Feb 7, 2025
Primary graft dysfunction (PGD) is a common complication after lung transplantation associated with poor outcomes. Although risk factors have been identified, the complex interactions between clinical variables affecting PGD risk are not well underst...
Humans Machine Learning Prognosis Retrospective Studies Tissue Donors Graft Survival Follow-Up Studies Lung Transplantation Primary Graft Dysfunction Female Risk Factors Adult Male Middle Aged Tomography, X-Ray Computed
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Developing a Novel Artificial Intelligence Framework to Measure the Balance of Clinical Versus Nonclinical Influences on Posthepatectomy Length of Stay.

Annals of surgical oncology Feb 5, 2025
BACKGROUND: Length of stay (LOS) is a key indicator of posthepatectomy care quality. While clinical factors influencing LOS are identified, the balance between clinical and nonclinical influences remains unquantified. We developed an artificial intel...
Humans Follow-Up Studies Hepatectomy Male Middle Aged Artificial Intelligence Postoperative Complications Prognosis Length of Stay Female Liver Neoplasms Aged
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Establishing a preoperative predictive model for gallbladder adenoma and cholesterol polyps based on machine learning: a multicentre retrospective study.

World journal of surgical oncology Jan 28, 2025
BACKGROUND: With the rising diagnostic rate of gallbladder polypoid lesions (GPLs), differentiating benign cholesterol polyps from gallbladder adenomas with a higher preoperative malignancy risk is crucial. This study aimed to establish a preoperativ...
Support Vector Machine Follow-Up Studies Humans Adenoma Machine Learning Male Gallbladder Neoplasms Prognosis Diagnosis, Differential Middle Aged Retrospective Studies Cholesterol Polyps Ultrasonography Female ROC Curve Aged Adult
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Development of a machine learning-based multivariable prediction model for the naturalistic course of generalized anxiety disorder.

Journal of anxiety disorders Jan 25, 2025
BACKGROUND: Generalized Anxiety Disorder (GAD) is a chronic condition. Enabling the prediction of individual trajectories would facilitate tailored management approaches for these individuals. This study used machine learning techniques to predict th...
Generalized Anxiety Disorder Follow-Up Studies Young Adult Humans Adult Machine Learning Male Prognosis Middle Aged Female Anxiety Disorders
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Predicting Postoperative Infection After Cytoreductive Surgery and Hyperthermic Intraperitoneal Chemotherapy with Splenectomy.

Annals of surgical oncology Jan 22, 2025
BACKGROUND: Hematologic changes after splenectomy and hyperthermic intraperitoneal chemotherapy (HIPEC) can complicate postoperative assessment of infection. This study aimed to develop a machine-learning model to predict postoperative infection afte...
Cytoreduction Surgical Procedures Infections Appendiceal Neoplasms Splenectomy Hyperthermic Intraperitoneal Chemotherapy Postoperative Complications Follow-Up Studies Combined Modality Therapy Peritoneal Neoplasms Retrospective Studies Humans Female Machine Learning Aged Prognosis Male Middle Aged
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