AIMC Topic: Risk

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Glutathione peroxidase-1 gene (GPX1) variants, oxidative stress and risk of kidney complications in people with type 1 diabetes.

Metabolism: clinical and experimental Oct 28, 2015
BACKGROUND AND AIM: Glutathione peroxidase (GPX) is a class of antioxidant enzymes that catalyze the reduction of hydrogen peroxide to water. GPX1 is the most abundant isoform and is expressed in all kidney cells. Isoprostane and advanced oxidation p...
Isoprostanes Glutathione Peroxidase GPX1 Adult Diabetes Mellitus, Type 1 Male Glutathione Peroxidase Risk Advanced Oxidation Protein Products Middle Aged Oxidative Stress Humans Female Diabetic Nephropathies Polymorphism, Single Nucleotide Genotype
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Robotic Mitral Valve Repair for Simple and Complex Degenerative Disease: Midterm Clinical and Echocardiographic Quality Outcomes.

Circulation Oct 19, 2015
BACKGROUND: Severe primary (degenerative) mitral regurgitation (MR) is repaired with durable results when simple single-scallop disease is addressed. The midterm quality outcomes of minimally invasive repair for complex disease are unknown, however.
Ultrasonography Treatment Outcome Follow-Up Studies Robotics Male Middle Aged Postoperative Complications Risk Reoperation Kaplan-Meier Estimate Recurrence Tertiary Care Centers Mitral Valve Insufficiency Proportional Hazards Models Female Aged Humans Cardiac Valve Annuloplasty Mitral Valve Prolapse
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Real alerts and artifact classification in archived multi-signal vital sign monitoring data: implications for mining big data.

Journal of clinical monitoring and computing Oct 5, 2015
Huge hospital information system databases can be mined for knowledge discovery and decision support, but artifact in stored non-invasive vital sign (VS) high-frequency data streams limits its use. We used machine-learning (ML) algorithms trained on ...
Risk Vital Signs Male Hospital Information Systems Middle Aged Oscillometry Data Mining Decision Support Systems, Clinical Clinical Alarms Female Humans Heart Rate Area Under Curve Monitoring, Physiologic Aged Machine Learning Artifacts Data Interpretation, Statistical Adult Blood Pressure Algorithms
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Finding Risk Groups by Optimizing Artificial Neural Networks on the Area under the Survival Curve Using Genetic Algorithms.

PloS one Sep 9, 2015
We investigate a new method to place patients into risk groups in censored survival data. Properties such as median survival time, and end survival rate, are implicitly improved by optimizing the area under the survival curve. Artificial neural netwo...
Humans Prognosis Survival Rate Neural Networks, Computer Algorithms Risk Assessment Proportional Hazards Models Risk
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A BHR Composite Network-Based Visualization Method for Deformation Risk Level of Underground Space.

PloS one May 26, 2015
This study proposes a visualization processing method for the deformation risk level of underground space. The proposed method is based on a BP-Hopfield-RGB (BHR) composite network. Complex environmental factors are integrated in the BP neural networ...
Risk Environment Neural Networks, Computer Algorithms Environmental Monitoring Color
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Mortality prediction in intensive care units with the Super ICU Learner Algorithm (SICULA): a population-based study.

The Lancet. Respiratory medicine Nov 24, 2014
BACKGROUND: Improved mortality prediction for patients in intensive care units is a big challenge. Many severity scores have been proposed, but findings of validation studies have shown that they are not adequately calibrated. The Super ICU Learner A...
Hospital Mortality ROC Curve Risk Boston Male Middle Aged Severity of Illness Index Reproducibility of Results Aged Aged, 80 and over Humans Machine Learning Intensive Care Units Algorithms Female
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Predicting and preventing Alzheimer's disease.

Science (New York, N.Y.) May 29, 2025
With all the advances in both the science of aging and artificial intelligence (AI), we are in a propitious position to accurately and precisely determine who is at high risk of developing Alzheimer's disease years before signs of even mild cognitive...
Alzheimer Disease Humans tau Proteins Artificial Intelligence Brain Risk Cognitive Dysfunction Apolipoprotein E4 Amyloid beta-Peptides
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Generative Artificial Intelligence Biases, Limitations and Risks in Nuclear Medicine: An Argument for Appropriate Use Framework and Recommendations.

Seminars in nuclear medicine May 1, 2025
Generative artificial intelligence (AI) algorithms for both text-to-text and text-to-image applications have seen rapid and widespread adoption in the general and medical communities. While limitations of generative AI have been widely reported, ther...
Risk Nuclear Medicine Artificial Intelligence Generative Artificial Intelligence Bias Humans
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Medical Artificial Intelligence and Human Values.

The New England journal of medicine May 30, 2024
Social Values Risk Humans Clinical Decision-Making Clinical Reasoning Artificial Intelligence Language Bias
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Garbage in, garbage out: mitigating risks and maximizing benefits of AI in research.

Nature Nov 1, 2023
Research Risk Artificial Intelligence
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