AIMC Topic: Severity of Illness Index

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Predictors of Disease Progression and Adverse Clinical Outcomes in Patients With Moderate Aortic Stenosis Using an Artificial Intelligence-Based Software Platform.

The American journal of cardiology May 6, 2024
Patients with moderate aortic stenosis (AS) have a greater risk of adverse clinical outcomes than that of the general population. How this risk compares with those with severe AS, along with factors associated with outcomes and disease progression, i...
Software Prognosis Retrospective Studies Female Aged Humans Artificial Intelligence Aortic Valve Stenosis Aged, 80 and over Heart Failure Male Atrial Fibrillation Echocardiography Proportional Hazards Models Disease Progression Severity of Illness Index
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Enhancing pneumonia prognosis in the emergency department: a novel machine learning approach using complete blood count and differential leukocyte count combined with CURB-65 score.

BMC medical informatics and decision making May 3, 2024
BACKGROUND: Pneumonia poses a major global health challenge, necessitating accurate severity assessment tools. However, conventional scoring systems such as CURB-65 have inherent limitations. Machine learning (ML) offers a promising approach for pred...
Leukocyte Count Machine Learning Prognosis Retrospective Studies Hospital Mortality Humans Female Taiwan Aged Pneumonia Aged, 80 and over Emergency Service, Hospital Adult Blood Cell Count Male Middle Aged Severity of Illness Index
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Artificial intelligence in coronary artery calcium score: rationale, different approaches, and outcomes.

The international journal of cardiovascular imaging May 3, 2024
Almost 35 years after its introduction, coronary artery calcium score (CACS) not only survived technological advances but became one of the cornerstones of contemporary cardiovascular imaging. Its simplicity and quantitative nature established it as ...
Humans Artificial Intelligence Prognosis Reproducibility of Results Coronary Artery Disease Coronary Vessels Vascular Calcification Computed Tomography Angiography Cardiac-Gated Imaging Techniques Severity of Illness Index Deep Learning Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted
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Data-driven shortened Insomnia Severity Index (ISI): a machine learning approach.

Sleep & breathing = Schlaf & Atmung Apr 29, 2024
BACKGROUND: The Insomnia Severity Index (ISI) is a widely used questionnaire with seven items for identifying the risk of insomnia disorder. Although the ISI is still short, more shortened versions are emerging for repeated monitoring in routine clin...
Psychometrics Adult Humans Sleep Initiation and Maintenance Disorders Machine Learning Male Female Middle Aged Reproducibility of Results Severity of Illness Index Aged Surveys and Questionnaires
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Artificial Intelligence for Quantifying Cumulative Small Bowel Disease Severity on CT-Enterography in Crohn's Disease.

The American journal of gastroenterology Apr 25, 2024
INTRODUCTION: Assessing the cumulative degree of bowel injury in ileal Crohn's disease (CD) is difficult. We aimed to develop machine learning (ML) methodologies for automated estimation of cumulative ileal injury on computed tomography-enterography ...
Middle Aged Severity of Illness Index Crohn Disease Intestine, Small Ileum Machine Learning Tomography, X-Ray Computed Female Adult Male Humans Artificial Intelligence
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A deep learning-based calculation system for plaque stenosis severity on common carotid artery of ultrasound images.

Vascular Apr 24, 2024
ObjectivesAssessment of plaque stenosis severity allows better management of carotid source of stroke. Our objective is to create a deep learning (DL) model to segment carotid intima-media thickness and plaque and further automatically calculate plaq...
Humans Female Reproducibility of Results Aged Male Middle Aged Severity of Illness Index Deep Learning Ultrasonography Predictive Value of Tests Carotid Stenosis Image Interpretation, Computer-Assisted Observer Variation Carotid Intima-Media Thickness Carotid Artery, Common Plaque, Atherosclerotic
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Diagnosis and Severity Assessment of COPD Using a Novel Fast-Response Capnometer and Interpretable Machine Learning.

COPD Apr 24, 2024
INTRODUCTION: Spirometry is the gold standard for COPD diagnosis and severity determination, but is technique-dependent, nonspecific, and requires administration by a trained healthcare professional. There is a need for a fast, reliable, and precise ...
Forced Expiratory Volume Aged Spirometry Pulmonary Disease, Chronic Obstructive Severity of Illness Index Capnography Humans Sensitivity and Specificity Case-Control Studies Male Machine Learning Logistic Models Middle Aged Algorithms Predictive Value of Tests Female Area Under Curve
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Prognostic value of a novel artificial intelligence-based coronary CTA-derived ischemia algorithm among patients with normal or abnormal myocardial perfusion.

Journal of cardiovascular computed tomography Apr 24, 2024
BACKGROUND: Among patients with obstructive coronary artery disease (CAD) on coronary computed tomography angiography (CTA), downstream positron emission tomography (PET) perfusion imaging can be performed to assess the presence of myocardial ischemi...
Predictive Value of Tests Coronary Angiography Coronary Artery Disease Humans Positron-Emission Tomography Aged Angina, Unstable Artificial Intelligence Vasodilator Agents Coronary Vessels Male Coronary Stenosis Algorithms Prognosis Computed Tomography Angiography Adenosine Middle Aged Retrospective Studies Coronary Circulation Severity of Illness Index Female Myocardial Perfusion Imaging Time Factors Reproducibility of Results Finland Risk Factors
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Assessment of atherosclerotic plaque burden: comparison of AI-QCT versus SIS, CAC, visual and CAD-RADS stenosis categories.

The international journal of cardiovascular imaging Apr 17, 2024
This study assesses the agreement of Artificial Intelligence-Quantitative Computed Tomography (AI-QCT) with qualitative approaches to atherosclerotic disease burden codified in the multisociety 2022 CAD-RADS 2.0 Expert Consensus. 105 patients who und...
Computed Tomography Angiography Coronary Stenosis Severity of Illness Index Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Observer Variation Coronary Vessels Multidetector Computed Tomography Plaque, Atherosclerotic Vascular Calcification Female Reproducibility of Results Aged Male Middle Aged Humans Artificial Intelligence
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Predicting post-treatment symptom severity for adults receiving psychological therapy in routine care for generalised anxiety disorder: a machine learning approach.

Psychiatry research Apr 9, 2024
Approximately half of generalised anxiety disorder (GAD) patients do not recover from first-line treatments, and no validated prediction models exist to inform individuals or clinicians of potential treatment benefits. This study aimed to develop and...
Young Adult Adult Male Middle Aged Anxiety Disorders Humans Machine Learning Female Severity of Illness Index Bayes Theorem Psychotherapy
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