AIMC Topic: Retrospective Studies

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Deep learning model for intravascular ultrasound image segmentation with temporal consistency.

The international journal of cardiovascular imaging Aug 27, 2024
This study was conducted to develop and validate a deep learning model for delineating intravascular ultrasound (IVUS) images of coronary arteries.Using a total of 1240 40-MHz IVUS pullbacks with 191,407 frames, the model for lumen and external elast...
Reproducibility of Results Aged Male Middle Aged Deep Learning Time Factors Predictive Value of Tests Ultrasonography, Interventional Coronary Artery Disease Humans Prognosis Retrospective Studies Female Image Interpretation, Computer-Assisted Coronary Vessels Plaque, Atherosclerotic
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Using Machine Learning to Predict Outcomes Following Transfemoral Carotid Artery Stenting.

Journal of the American Heart Association Aug 27, 2024
BACKGROUND: Transfemoral carotid artery stenting (TFCAS) carries important perioperative risks. Outcome prediction tools may help guide clinical decision-making but remain limited. We developed machine learning algorithms that predict 1-year stroke o...
Stents Endovascular Procedures Femoral Artery Carotid Stenosis Aged Machine Learning Aged, 80 and over Male Risk Assessment Databases, Factual Middle Aged Humans Time Factors Retrospective Studies Treatment Outcome Female Predictive Value of Tests Risk Factors Stroke
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Development of an artificial intelligence model for predicting implant size in total knee arthroplasty using simple X-ray images.

Journal of orthopaedic surgery and research Aug 27, 2024
BACKGROUND: Accurate estimation of implant size before surgery is crucial in preparing for total knee arthroplasty. However, this task is time-consuming and labor-intensive. To alleviate this burden on surgeons, we developed a reliable artificial int...
Aged, 80 and over Male Middle Aged Artificial Intelligence Tibia Retrospective Studies Radiography Humans Femur Female Arthroplasty, Replacement, Knee Knee Prosthesis Aged Osteoarthritis, Knee
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Development and validation of a machine learning-based model to assess probability of systemic inflammatory response syndrome in patients with severe multiple traumas.

BMC medical informatics and decision making Aug 27, 2024
BACKGROUND: Systemic inflammatory response syndrome (SIRS) is a predictor of serious infectious complications, organ failure, and death in patients with severe polytrauma and is one of the reasons for delaying early total surgical treatment. To deter...
Humans Machine Learning Male Retrospective Studies Middle Aged Female Systemic Inflammatory Response Syndrome Adult Multiple Trauma
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Artificial neural network prediction of postoperative complications in papillary thyroid microcarcinoma based on preoperative ultrasonographic features.

Journal of clinical ultrasound : JCU Aug 27, 2024
OBJECTIVE: To predict post-thyroidectomy complications in papillary thyroid microcarcinoma (PTMC) patients using a deep learning model based on preoperative ultrasonographic features. This study addresses the global rise in PTMC incidence and the cha...
Ultrasonography Predictive Value of Tests Carcinoma, Papillary Reproducibility of Results Adult Male Middle Aged Postoperative Complications Deep Learning Thyroid Gland Thyroidectomy Thyroid Neoplasms Humans Neural Networks, Computer Retrospective Studies Female
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A 3D Convolutional Neural Network Based on Non-enhanced Brain CT to Identify Patients with Brain Metastases.

Journal of imaging informatics in medicine Aug 26, 2024
Dedicated brain imaging for cancer patients is seldom recommended in the absence of symptoms. There is increasing availability of non-enhanced CT (NE-CT) of the brain, mainly owing to a wider utilization of Positron Emission Tomography-CT (PET-CT) in...
Humans Neural Networks, Computer Male Aged Magnetic Resonance Imaging Aged, 80 and over Middle Aged Adult Convolutional Neural Networks Brain Brain Neoplasms Imaging, Three-Dimensional Retrospective Studies Tomography, X-Ray Computed Female
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The Fine-Tuned Large Language Model for Extracting the Progressive Bone Metastasis from Unstructured Radiology Reports.

Journal of imaging informatics in medicine Aug 26, 2024
Early detection of patients with impending bone metastasis is crucial for prognosis improvement. This study aimed to investigate the feasibility of a fine-tuned, locally run large language model (LLM) in extracting patients with bone metastasis in un...
Large Language Models Male Middle Aged Bone Neoplasms Natural Language Processing Humans Retrospective Studies Female Aged
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Development of an artificial intelligence-based model to predict early recurrence of neuroendocrine liver metastasis after resection.

Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract Aug 26, 2024
PURPOSE: We sought to develop an artificial intelligence (AI)-based model to predict early recurrence (ER) after curative-intent resection of neuroendocrine liver metastases (NELMs).
Middle Aged ROC Curve Female Liver Neoplasms Humans Neoplasm Recurrence, Local Aged Predictive Value of Tests Artificial Intelligence Tumor Burden Adult Prognosis Male Hepatectomy Retrospective Studies Neuroendocrine Tumors
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Mandibular Gender Dimorphism: The Utility of Artificial Intelligence and Statistical Shape Modeling in Skeletal Facial Analysis.

Aesthetic plastic surgery Aug 26, 2024
BACKGROUND: In gender-affirming surgery, facial skeletal dimorphism is an important topic for every craniofacial surgeon. Few cephalometric studies have assessed this topic; however, they fall short to provide skeletal contour insights that direct su...
Humans Artificial Intelligence Retrospective Studies Tomography, X-Ray Computed Imaging, Three-Dimensional Female Mandible Young Adult Models, Statistical Adult Cephalometry Male Sex Characteristics
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Machine learning-based predictive model for the development of thrombolysis resistance in patients with acute ischemic stroke.

BMC neurology Aug 26, 2024
BACKGROUND: The objective of this study was to establish a predictive model utilizing machine learning techniques to anticipate the likelihood of thrombolysis resistance (TR) in acute ischaemic stroke (AIS) patients undergoing recombinant tissue plas...
Machine Learning Retrospective Studies Female Aged Aged, 80 and over Humans Fibrinolytic Agents Tissue Plasminogen Activator Drug Resistance Male Middle Aged Ischemic Stroke Thrombolytic Therapy
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