AIMC Topic: Predictive Value of Tests

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Artificial intelligence-based classification of cardiac autonomic neuropathy from retinal fundus images in patients with diabetes: The Silesia Diabetes Heart Study.

Cardiovascular diabetology Aug 10, 2024
BACKGROUND: Cardiac autonomic neuropathy (CAN) in diabetes mellitus (DM) is independently associated with cardiovascular (CV) events and CV death. Diagnosis of this complication of DM is time-consuming and not routinely performed in the clinical prac...
Fundus Oculi Heart Diseases Image Interpretation, Computer-Assisted Diabetic Neuropathies Autonomic Nervous System Humans Adult Male Middle Aged Deep Learning Predictive Value of Tests Diabetic Retinopathy Artificial Intelligence Female Reproducibility of Results Aged
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Non-invasive prediction of axillary lymph node dissection exemption in breast cancer patients post-neoadjuvant therapy: A radiomics and deep learning analysis on longitudinal DCE-MRI data.

Breast (Edinburgh, Scotland) Aug 9, 2024
PURPOSE: In breast cancer (BC) patients with clinical axillary lymph node metastasis (cN+) undergoing neoadjuvant therapy (NAT), precise axillary lymph node (ALN) assessment dictates therapeutic strategy. There is a critical demand for a precise meth...
Adult Magnetic Resonance Imaging Lymph Nodes Breast Neoplasms Humans Lymph Node Excision Retrospective Studies Neoadjuvant Therapy Axilla Radiomics Female Support Vector Machine Middle Aged Predictive Value of Tests Aged Lymphatic Metastasis Deep Learning Contrast Media
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Impact of training data composition on the generalizability of convolutional neural network aortic cross-section segmentation in four-dimensional magnetic resonance flow imaging.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Aug 8, 2024
BACKGROUND: Four-dimensional cardiovascular magnetic resonance flow imaging (4D flow CMR) plays an important role in assessing cardiovascular diseases. However, the manual or semi-automatic segmentation of aortic vessel boundaries in 4D flow data int...
Hemodynamics Perfusion Imaging Deep Learning Aortic Valve Humans Young Adult Image Interpretation, Computer-Assisted Predictive Value of Tests Neural Networks, Computer Bicuspid Aortic Valve Disease Regional Blood Flow Adult Female Datasets as Topic Male Reproducibility of Results Blood Flow Velocity Middle Aged Aged Aorta Case-Control Studies
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Combining Image Similarity and Predictive Artificial Intelligence Models to Decrease Subjectivity in Thyroid Nodule Diagnosis and Improve Malignancy Prediction.

Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists Aug 8, 2024
OBJECTIVES: To evaluate the efficacy of combining predictive artificial intelligence (AI) and image similarity model to risk stratify thyroid nodules, using retrospective external validation study.
Humans Artificial Intelligence Retrospective Studies Female Aged Ultrasonography Thyroid Nodule Predictive Value of Tests Adult Biopsy, Fine-Needle Sensitivity and Specificity Male Middle Aged Thyroid Neoplasms
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Machine Learning Model Predicts Postoperative Outcomes in Chronic Rhinosinusitis With Nasal Polyps.

Clinical otolaryngology : official journal of ENT-UK ; official journal of Netherlands Society for Oto-Rhino-Laryngology & Cervico-Facial Surgery Aug 7, 2024
OBJECTIVE: Evaluating the possibility of predicting chronic rhinosinusitis with nasal polyps (CRSwNP) disease course using Artificial Intelligence.
Chronic Disease Rhinosinusitis Predictive Value of Tests Machine Learning Prospective Studies Female Adult Endoscopy Male Middle Aged Nasal Polyps Sinusitis Rhinitis Humans
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Machine Learning-Based Algorithm for the Early Prediction of Postoperative Hypocalcemia Risk After Thyroidectomy.

Annals of surgery Aug 7, 2024
OBJECTIVE: We used machine learning to develop and validate a multivariable algorithm allowing the accurate and early prediction of postoperative hypocalcemia risk.
Algorithms Retrospective Studies Female Risk Factors Aged Humans Machine Learning Thyroidectomy Predictive Value of Tests Hypocalcemia Adult Male Middle Aged Risk Assessment Postoperative Complications
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Exploring the accuracy of tooth loss prediction between a clinical periodontal prognostic system and a machine learning prognostic model.

Journal of clinical periodontology Aug 7, 2024
AIM: The aim of this analysis was to compare a clinical periodontal prognostic system and a developed and externally validated artificial intelligence (AI)-based model for the prediction of tooth loss in periodontitis patients under supportive period...
Humans Neural Networks, Computer Machine Learning Periodontitis Tooth Loss Male Middle Aged Cohort Studies Logistic Models Prognosis Predictive Value of Tests Female Aged Adult Sensitivity and Specificity
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Ensemble machine learning to predict futile recanalization after mechanical thrombectomy based on non-contrast CT imaging.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Aug 6, 2024
OBJECTIVES: Despite successful recanalization after Mechanical Thrombectomy (MT), approximately 25 % of patients with Acute Ischemic Stroke (AIS) due to Large Vessel Occlusion (LVO) show unfavorable clinical outcomes, namely Futile Recanalization (FR...
Radiographic Image Interpretation, Computer-Assisted Infarction, Middle Cerebral Artery Thrombectomy Medical Futility Risk Assessment Time Factors Treatment Outcome Predictive Value of Tests Ischemic Stroke Machine Learning Decision Support Techniques Retrospective Studies Aged, 80 and over Tomography, X-Ray Computed Humans Male Clinical Decision-Making Middle Aged Female Risk Factors Aged
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Preoperative Prediction of Axillary Lymph Node Metastasis in Patients With Breast Cancer Through Multimodal Deep Learning Based on Ultrasound and Magnetic Resonance Imaging Images.

Academic radiology Aug 5, 2024
RATIONALE AND OBJECTIVES: Deep learning can enhance the performance of multimodal image analysis, which is known for its noninvasive attributes and complementary efficacy, in predicting axillary lymph node (ALN) metastasis. Therefore, we established ...
Multimodal Imaging Predictive Value of Tests Ultrasonography, Mammary Ultrasonography Lymph Nodes Humans Lymphatic Metastasis Magnetic Resonance Imaging Retrospective Studies Axilla Female Aged Adult Breast Neoplasms Middle Aged Deep Learning
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Prediction models for retinopathy of prematurity occurrence based on artificial neural network.

BMC ophthalmology Aug 5, 2024
INTRODUCTION: Early prediction and timely treatment are essential for minimizing the risk of visual loss or blindness of retinopathy of prematurity, emphasizing the importance of ROP screening in clinical routine.
Humans Neural Networks, Computer Male ROC Curve Predictive Value of Tests Algorithms Neonatal Screening Gestational Age Retrospective Studies Retinopathy of Prematurity Female Infant, Newborn Risk Factors
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