AIMC Topic: Predictive Value of Tests

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Predicting cardiovascular outcomes in Chinese patients with type 2 diabetes by combining risk factor trajectories and machine learning algorithm: a cohort study.

Cardiovascular diabetology Feb 7, 2025
BACKGROUND: Cardiovascular complications are major concerns for Chinese patients with type 2 diabetes. Accurately predicting these risks remains challenging due to limitations in traditional risk models. We aimed to develop a dynamic prediction model...
Predictive Value of Tests Heart Disease Risk Factors Reproducibility of Results Aged Male Cardiovascular Diseases Middle Aged Risk Assessment China Time Factors Diabetes Mellitus, Type 2 East Asian People Humans Machine Learning Decision Support Techniques Prognosis Female
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Machine learning research methods to predict postoperative pain and opioid use: a narrative review.

Regional anesthesia and pain medicine Feb 5, 2025
The use of machine learning to predict postoperative pain and opioid use has likely been catalyzed by the availability of complex patient-level data, computational and statistical advancements, the prevalence and impact of chronic postsurgical pain, ...
Analgesics, Opioid Opioid-Related Disorders Humans Machine Learning Predictive Value of Tests Pain Measurement Pain, Postoperative
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A Fully Automated Artificial Intelligence-Based Approach to Predict Renal Function After Radical or Partial Nephrectomy.

Urology Feb 4, 2025
OBJECTIVE: To test if our artificial intelligence (AI)-postoperative glomerular filtration rate (GFR) prediction is as accurate as a validated clinical model. The American Urologic Association recommends estimating postoperative GFR in patients with ...
Humans Artificial Intelligence Tomography, X-Ray Computed Glomerular Filtration Rate Predictive Value of Tests Kidney Neoplasms Postoperative Period Nephrectomy Female Aged Male Middle Aged Kidney
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Prediction of obstructive coronary artery disease using coronary calcification and epicardial adipose tissue assessments from CT calcium scoring scans.

Journal of cardiovascular computed tomography Feb 4, 2025
BACKGROUND: Low-cost/no-cost non-contrast CT calcium scoring (CTCS) exams can provide direct evidence of coronary atherosclerosis. In this study, using features from CTCS images, we developed a novel machine learning model to predict obstructive coro...
Decision Support Techniques Prognosis Female Reproducibility of Results Risk Factors Humans Machine Learning Adipose Tissue Predictive Value of Tests Coronary Angiography Coronary Artery Disease Coronary Vessels Aged Male Middle Aged Risk Assessment Severity of Illness Index Vascular Calcification Computed Tomography Angiography Pericardium Epicardial Adipose Tissue
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Development and Evaluation of a Deep Learning-Based Pulmonary Hypertension Screening Algorithm Using a Digital Stethoscope.

Journal of the American Heart Association Feb 3, 2025
BACKGROUND: Despite the poor outcomes related to the presence of pulmonary hypertension, it often goes undiagnosed in part because of low suspicion and screening tools not being easily accessible such as echocardiography. A new readily available scre...
Pulmonary Artery Phonocardiography Humans Deep Learning Algorithms Reproducibility of Results Predictive Value of Tests Female Aged Hypertension, Pulmonary Male Stethoscopes Echocardiography Middle Aged
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Applicability of Artificial Intelligence Analysis in Oral Cytopathology: A Pilot Study.

Acta cytologica Feb 3, 2025
INTRODUCTION: Oral cancer, especially oral squamous cell carcinoma (OSCC), is a global health challenge due to factors such as late detection and high mortality rates. Early detection is essential through monitoring by healthcare professionals. Cytop...
Reproducibility of Results Aged Adult Male Middle Aged Humans Artificial Intelligence Female Carcinoma, Squamous Cell Pilot Projects Mouth Neoplasms Papanicolaou Test Cytodiagnosis Squamous Cell Carcinoma of Head and Neck Image Interpretation, Computer-Assisted Early Detection of Cancer Predictive Value of Tests
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Machine learning to detect recent recreational drug use in intensive cardiac care units.

Archives of cardiovascular diseases Jan 30, 2025
BACKGROUND: Although recreational drug use is a strong risk factor for acute cardiovascular events, systematic testing is currently not performed in patients admitted to intensive cardiac care units, with a risk of underdetection. To address this iss...
Reproducibility of Results Risk Factors Risk Assessment Aged Predictive Value of Tests Male Humans Substance Abuse Detection Substance-Related Disorders Middle Aged Machine Learning France Random Forest Prospective Studies Illicit Drugs Female Coronary Care Units Recreational Drug Use
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Machine Learning Analysis of Nutrient Associations with Peripheral Arterial Disease: Insights from NHANES 1999-2004.

Annals of vascular surgery Jan 30, 2025
BACKGROUND: Peripheral arterial disease (PAD) is a common manifestation of atherosclerosis, affecting over 200 million people worldwide. The incidence of PAD is increasing due to the aging population. Common risk factors include smoking, diabetes, an...
Risk Assessment Time Factors Nutrition Surveys United States Peripheral Arterial Disease Humans Machine Learning Predictive Value of Tests Female Cross-Sectional Studies Ankle Brachial Index Risk Factors Male Nutritional Status Aged Middle Aged Adult Nutrition Assessment Diet
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Construction and evaluation of machine learning-based predictive models for early-onset preeclampsia.

Pregnancy hypertension Jan 30, 2025
OBJECTIVE: To analyze the influencing factors of early-onset preeclampsia (EOPE). And to construct and validate the prediction model of EOPE using machine learning algorithm.
Humans Neural Networks, Computer Pre-Eclampsia Risk Factors Machine Learning Adult Algorithms Risk Assessment Pregnancy Logistic Models Female Predictive Value of Tests
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Ultrasound Predicts Drug-Induced Sleep Endoscopy Findings Using Machine Learning Models.

The Laryngoscope Jan 29, 2025
OBJECTIVES: Ultrasound is a promising low-risk imaging modality that can provide objective airway measurements that may circumvent limitations of drug-induced sleep endoscopy (DISE). This study was devised to identify ultrasound-derived anatomical me...
Hypnotics and Sedatives Predictive Value of Tests Sleep Apnea, Obstructive Sleep Humans Machine Learning Female Aged Adult Endoscopy Male Middle Aged Ultrasonography
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