AIMC Topic: Retrospective Studies

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Prediction Models for Intravenous Immunoglobulin Non-Responders of Kawasaki Disease Using Machine Learning.

Clinical drug investigation Jun 13, 2024
BACKGROUND AND OBJECTIVE: Intravenous immunoglobulin (IVIG) is a prominent therapeutic agent for Kawasaki disease (KD) that significantly reduces the incidence of coronary artery anomalies. Various methodologies, including machine learning, have been...
Mucocutaneous Lymph Node Syndrome Immunoglobulins, Intravenous Prednisolone Male Infant Child, Preschool Child Humans Machine Learning Retrospective Studies Female
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Transformer-Based Multilabel Deep Learning Model Is Efficient for Detecting Ankle Lateral and Medial Ligament Injuries on Magnetic Resonance Imaging and Improving Clinicians' Diagnostic Accuracy for Rotational Chronic Ankle Instability.

Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association Jun 12, 2024
PURPOSE: To develop a deep learning (DL) model that can simultaneously detect lateral and medial collateral ligament injuries of the ankle, aiding in the diagnosis of chronic ankle instability (CAI), and assess its impact on clinicians' diagnostic pe...
Magnetic Resonance Imaging Chronic Disease Arthroscopy Ankle Joint Ankle Injuries Joint Instability Lateral Ligament, Ankle Collateral Ligaments Young Adult Adult Male Humans Middle Aged Neural Networks, Computer Deep Learning Retrospective Studies Female
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Streamlining Acute Abdominal Aortic Dissection Management-An AI-based CT Imaging Workflow.

Journal of imaging informatics in medicine Jun 12, 2024
Life-threatening acute aortic dissection (AD) demands timely diagnosis for effective intervention. To streamline intrahospital workflows, automated detection of AD in abdominal computed tomography (CT) scans seems useful to assist humans. We aimed at...
Humans Neural Networks, Computer Male Middle Aged ROC Curve Aortic Aneurysm, Abdominal Workflow Algorithms Retrospective Studies Tomography, X-Ray Computed Female Aged Aortic Dissection Dissection, Abdominal Aorta
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A Predictive Model for Intraoperative Cerebrospinal Fluid Leak During Endonasal Pituitary Adenoma Resection Using a Convolutional Neural Network.

World neurosurgery Jun 12, 2024
BACKGROUND: Cerebrospinal fluid (CSF) leak during endoscopic endonasal transsphenoidal surgery can lead to postoperative complications. The clinical and anatomic risk factors of intraoperative CSF leak are not well defined. We applied a two-dimension...
Pituitary Neoplasms Adenoma Cerebrospinal Fluid Leak Adult Humans Male Intraoperative Complications Neuroendoscopy Retrospective Studies Neural Networks, Computer Middle Aged Female Postoperative Complications Risk Factors Magnetic Resonance Imaging Aged
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Machine-learning-based models assist the prediction of pulmonary embolism in autoimmune diseases: A retrospective, multicenter study.

Chinese medical journal Jun 12, 2024
BACKGROUND: Pulmonary embolism (PE) is a severe and acute cardiovascular syndrome with high mortality among patients with autoimmune inflammatory rheumatic diseases (AIIRDs). Accurate prediction and timely intervention play a pivotal role in enhancin...
Male Middle Aged Logistic Models Support Vector Machine Pulmonary Embolism Machine Learning Autoimmune Diseases Humans Retrospective Studies Neural Networks, Computer Female Aged Adult
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Explainable Deep Learning Model for Predicting Serious Adverse Events in Hospitalized Geriatric Patients Within 72 Hours.

Clinical interventions in aging Jun 12, 2024
BACKGROUND: The global aging population presents a significant challenge, with older adults experiencing declining physical and cognitive abilities and increased vulnerability to chronic diseases and adverse health outcomes. This study aims to develo...
Risk Assessment Female Humans Area Under Curve Deep Learning Hospitalization Emergency Service, Hospital Prognosis ROC Curve Aged Geriatric Assessment Retrospective Studies Taiwan Aged, 80 and over Organ Dysfunction Scores Intensive Care Units Male
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Use of machine learning to identify protective factors for death from COVID-19 in the ICU: a retrospective study.

PeerJ Jun 12, 2024
BACKGROUND: Patients in serious condition due to COVID-19 often require special care in intensive care units (ICUs). This disease has affected over 758 million people and resulted in 6.8 million deaths worldwide. Additionally, the progression of the ...
Intensive Care Units Female SARS-CoV-2 Risk Factors Aged Machine Learning COVID-19 Length of Stay Prognosis Adult Humans Patient Discharge Retrospective Studies Male Protective Factors Middle Aged Brazil
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Res-TransNet: A Hybrid deep Learning Network for Predicting Pathological Subtypes of lung Adenocarcinoma in CT Images.

Journal of imaging informatics in medicine Jun 11, 2024
This study aims to develop a CT-based hybrid deep learning network to predict pathological subtypes of early-stage lung adenocarcinoma by integrating residual network (ResNet) with Vision Transformer (ViT). A total of 1411 pathologically confirmed gr...
Deep Learning Image Processing, Computer-Assisted Lung Neoplasms Adenocarcinoma of Lung Tomography, X-Ray Computed Female Humans Male Computer Simulation Middle Aged Retrospective Studies
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Optimizing vancomycin dosing in pediatrics: a machine learning approach to predict trough concentrations in children under four years of age.

International journal of clinical pharmacy Jun 11, 2024
BACKGROUND: Vancomycin trough concentration is closely associated with clinical efficacy and toxicity. Predicting vancomycin trough concentrations in pediatric patients is challenging due to significant inter-individual variability and rapid physiolo...
Humans Infant Machine Learning Child, Preschool Anti-Bacterial Agents Dose-Response Relationship, Drug Retrospective Studies Drug Monitoring Female Vancomycin Male
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Artificial Intelligence Imaging Diagnosis Using Super-Resolution and Three-Dimensional Shape for Lymph Node Metastasis of Low Rectal Cancer: A Pilot Study From a Single Center.

Diseases of the colon and rectum Jun 11, 2024
BACKGROUND: Although accurate preoperative diagnosis of lymph node metastasis is essential for optimizing treatment strategies for low rectal cancer, the accuracy of present diagnostic modalities has room for improvement.
Lymph Nodes Adenocarcinoma Lymphatic Metastasis Lymph Node Excision Predictive Value of Tests Pelvis Rectal Neoplasms Multidetector Computed Tomography Proctectomy Sensitivity and Specificity Male Middle Aged Pilot Projects Imaging, Three-Dimensional Retrospective Studies Female Humans Aged Artificial Intelligence Adult
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