AIMC Topic: Retrospective Studies
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Long-Term Efficacy of an AI-Based Health Coaching Mobile App in Slowing the Progression of Nondialysis-Dependent Chronic Kidney Disease: Retrospective Cohort Study.
Journal of medical Internet research
Nov 25, 2024
BACKGROUND: Chronic kidney disease (CKD) is a significant public health concern. Therefore, practical strategies for slowing CKD progression and improving patient outcomes are imperative. There is limited evidence to substantiate the efficacy of mobi...
Predicting Epidural Hematoma Expansion in Traumatic Brain Injury: A Machine Learning Approach.
The neuroradiology journal
Nov 24, 2024
IntroductionTraumatic brain injury (TBI) is a leading cause of disability and mortality worldwide, with epidural hematoma (EDH) being a severe consequence. This study focuses on identifying factors predicting EDH volume changes in TBI patients and de...
Deep learning-based multiple-CT optimization: An adaptive treatment planning approach to account for anatomical changes in intensity-modulated proton therapy for head and neck cancers.
Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
Nov 23, 2024
BACKGROUNDS: Intensity-modulated proton therapy (IMPT) is particularly susceptible to range and setup uncertainties, as well as anatomical changes.
Exploratory study on the enhancement of O-RADS application effectiveness for novice ultrasonographers via deep learning.
Archives of gynecology and obstetrics
Nov 23, 2024
PURPOSE: The study aimed to create a deep convolutional neural network (DCNN) model based on ConvNeXt-Tiny to identify classic benign lesions (CBL) from other lesions (OL) within the Ovarian-Adnexal Reporting and Data System (O-RADS), enhancing the s...
An ultrasonography of thyroid nodules dataset with pathological diagnosis annotation for deep learning.
Scientific data
Nov 23, 2024
Ultrasonography (US) of thyroid nodules is often time consuming and may be inconsistent between observers, with a low positivity rate for malignancy in biopsies. Even after determining the ultrasound Thyroid Imaging Reporting and Data System (TIRADS)...
Predicting Short-Term Mortality after Endovascular Aortic Repair Using Machine Learning-Based Decision Tree Analysis.
Annals of vascular surgery
Nov 22, 2024
BACKGROUND: Endovascular aneurysm repair (EVAR) has revolutionized the treatment of abdominal aortic aneurysms by offering a less invasive alternative to open surgery. Understanding the factors that influence patient outcomes, particularly for high-r...
Risk Assessment
Time Factors
Treatment Outcome
Decision Trees
Predictive Value of Tests
Aortic Aneurysm, Abdominal
Nutritional Status
Blood Vessel Prosthesis Implantation
Endovascular Procedures
Risk Factors
Aged
Humans
Endovascular Aneurysm Repair
Aged, 80 and over
Retrospective Studies
Machine Learning
Male
Clinical Decision-Making
Decision Support Techniques
Middle Aged
Female
Reproducibility of Results
Predictive Factors Driving Positive Awake Test in Carotid Endarterectomy Using Machine Learning.
Annals of vascular surgery
Nov 22, 2024
BACKGROUND: Positive neurologic awake testing during the carotid cross-clamping may be present in around 8% of patients undergoing carotid endarterectomy (CEA). The present work aimed to assess the accuracy of an artificial intelligence (AI)-powered ...
Neurologic Examination
Endarterectomy, Carotid
Aged, 80 and over
Male
Middle Aged
Risk Assessment
Case-Control Studies
Retrospective Studies
Intraoperative Neurophysiological Monitoring
Humans
Female
Treatment Outcome
Reproducibility of Results
Predictive Value of Tests
Machine Learning
Risk Factors
Wakefulness
Decision Support Techniques
Aged
Carotid Stenosis
Artificial intelligence-based body composition analysis using computed tomography images predicts both prevalence and incidence of diabetes mellitus.
Journal of diabetes investigation
Nov 22, 2024
AIM/INTRODUCTION: We assess the efficacy of artificial intelligence (AI)-based, fully automated, volumetric body composition metrics in predicting the risk of diabetes.
Comprehensive prediction of outcomes in patients with ST elevation myocardial infarction (STEMI) using tree-based machine learning algorithms.
Computers in biology and medicine
Nov 22, 2024
ST elevation myocardial infarction (STEMI), a subtype of acute coronary syndrome, is one of the leading causes of morbidity and mortality. Revascularization using primary percutaneous coronary intervention (PPCI) is the gold standard treatment. Despi...
Machine learning based predictive modeling and risk factors for prolonged SARS-CoV-2 shedding.
Journal of translational medicine
Nov 22, 2024
BACKGROUND: The global outbreak of the coronavirus disease 2019 (COVID-19) has been enormously damaging, in which prolonged shedding of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2, previously 2019-nCoV) infection is a challenge in the...
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