AIMC Topic: Predictive Value of Tests

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Prediction of bone invasion of oral squamous cell carcinoma using a magnetic resonance imaging-based machine learning model.

European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery Jul 31, 2024
OBJECTIVES: Radiomics, a recently developed image-processing technology, holds potential in medical diagnostics. This study aimed to propose a machine-learning (ML) model and evaluate its effectiveness in detecting oral squamous cell carcinoma (OSCC)...
Neoplasm Invasiveness Bone Neoplasms Predictive Value of Tests Mouth Neoplasms Adult Male Middle Aged Support Vector Machine Magnetic Resonance Imaging Humans Machine Learning Retrospective Studies Female Carcinoma, Squamous Cell Aged
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Artificial Intelligence to Predict the Risk of Lymph Node Metastasis in T2 Colorectal Cancer.

Annals of surgery Jul 30, 2024
OBJECTIVE: To develop and externally validate an updated artificial intelligence (AI) prediction system for stratifying the risk of lymph node metastasis (LNM) in T2 colorectal cancer (CRC).
Lymph Nodes Lymphatic Metastasis Predictive Value of Tests Neoplasm Staging Artificial Intelligence Retrospective Studies Female Aged Aged, 80 and over Adult Sensitivity and Specificity Colorectal Neoplasms Male Middle Aged Risk Assessment Humans
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Predicting inferior vena cava filter complications using machine learning.

Journal of vascular surgery. Venous and lymphatic disorders Jul 29, 2024
OBJECTIVE: Inferior vena cava (IVC) filter placement is associated with important long-term complications. Predictive models for filter-related complications may help guide clinical decision-making but remain limited. We developed machine learning (M...
Humans Machine Learning Time Factors Treatment Outcome Predictive Value of Tests Aged Decision Support Techniques Prosthesis Implantation Adult Databases, Factual Vena Cava Filters Male Retrospective Studies Middle Aged Female Risk Assessment Risk Factors Postoperative Complications
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Artificial intelligence assisted ultrasound for the non-invasive prediction of axillary lymph node metastasis in breast cancer.

BMC cancer Jul 29, 2024
PURPOSE: A practical noninvasive method is needed to identify lymph node (LN) status in breast cancer patients diagnosed with a suspicious axillary lymph node (ALN) at ultrasound but a negative clinical physical examination. To predict ALN metastasis...
Neural Networks, Computer Artificial Intelligence Retrospective Studies Female Aged Adult Humans Lymph Nodes Lymphatic Metastasis Axilla Predictive Value of Tests Sentinel Lymph Node Biopsy Breast Neoplasms Middle Aged Deep Learning Ultrasonography ROC Curve
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Prediction of post-donation renal function using machine learning techniques and conventional regression models in living kidney donors.

Journal of nephrology Jul 29, 2024
BACKGROUND: Accurate prediction of renal function following kidney donation and careful selection of living donors are essential for living-kidney donation programs. We aimed to develop a prediction model for post-donation renal function following li...
Humans Living Donors Creatinine Nephrectomy Male Machine Learning Middle Aged Kidney Transplantation Kidney Retrospective Studies Glomerular Filtration Rate Female Predictive Value of Tests Adult
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Clinical utility of a rapid two-dimensional balanced steady-state free precession sequence with deep learning reconstruction.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Jul 28, 2024
BACKGROUND: Cardiovascular magnetic resonance (CMR) cine imaging is still limited by long acquisition times. This study evaluated the clinical utility of an accelerated two-dimensional (2D) cine sequence with deep learning reconstruction (Sonic DL) t...
Deep Learning Adult Observer Variation Humans Male Magnetic Resonance Imaging, Cine Time Factors Prospective Studies Ventricular Function, Left Predictive Value of Tests Stroke Volume Ventricular Function, Right Female Heart Ventricles Middle Aged Reproducibility of Results Image Interpretation, Computer-Assisted Aged
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Deep learning model based on contrast-enhanced ultrasound for predicting vessels encapsulating tumor clusters in hepatocellular carcinoma.

European radiology Jul 27, 2024
OBJECTIVES: To establish and validate a non-invasive deep learning (DL) model based on contrast-enhanced ultrasound (CEUS) to predict vessels encapsulating tumor clusters (VETC) patterns in hepatocellular carcinoma (HCC).
Ultrasonography Liver Neoplasms Humans Carcinoma, Hepatocellular Contrast Media Retrospective Studies Predictive Value of Tests Female Aged Adult Male Middle Aged Deep Learning
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Reduced response to regadenoson with increased weight: An artificial intelligence-based quantitative myocardial perfusion study.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Jul 25, 2024
BACKGROUND: There is conflicting evidence regarding the response to a fixed dose of regadenoson in patients with high body weight. The aim of this study was to evaluate the effectiveness of regadenoson in patients with varying body weights using nove...
Case-Control Studies Logistic Models Obesity Predictive Value of Tests Coronary Circulation Female Humans Coronary Artery Disease Myocardial Perfusion Imaging Body Weight Risk Factors Adenosine Artificial Intelligence Image Interpretation, Computer-Assisted Aged Adenosine A2 Receptor Agonists Algorithms Male Pyrazoles Middle Aged Vasodilator Agents Purines
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Deep Learning Model Using Stool Pictures for Predicting Endoscopic Mucosal Inflammation in Patients With Ulcerative Colitis.

The American journal of gastroenterology Jul 25, 2024
INTRODUCTION: Stool characteristics may change depending on the endoscopic activity of ulcerative colitis (UC). We developed a deep learning model using stool photographs of patients with UC (DLSUC) to predict endoscopic mucosal inflammation.
Humans Prospective Studies Female Aged Adult Male ROC Curve Colitis, Ulcerative Intestinal Mucosa Predictive Value of Tests Leukocyte L1 Antigen Complex Photography Middle Aged Colonoscopy Severity of Illness Index Deep Learning Feces
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Machine learning models including preoperative and postoperative albumin-bilirubin score: short-term outcomes among patients with hepatocellular carcinoma.

HPB : the official journal of the International Hepato Pancreato Biliary Association Jul 25, 2024
BACKGROUND: We sought to assess the impact of various perioperative factors on the risk of severe complications and post-surgical mortality using a novel maching learning technique.
Hospital Mortality Liver Neoplasms Carcinoma, Hepatocellular Treatment Outcome Predictive Value of Tests Bilirubin Hepatectomy Serum Albumin, Human Serum Albumin Male Middle Aged Risk Assessment Postoperative Complications Time Factors Databases, Factual Humans Retrospective Studies Machine Learning Female Risk Factors Aged
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