AIMC Topic: Predictive Value of Tests

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Effect of Genetic Polymorphisms on the Pharmacokinetics of Deferasirox in Healthy Chinese Subjects and an Artificial Neural Networks Model for Pharmacokinetic Prediction.

European journal of drug metabolism and pharmacokinetics Dec 1, 2020
BACKGROUND AND OBJECTIVE: Deferasirox is an oral iron chelator used to reduce iron levels in iron-overloaded patients with transfusion-dependent anemia or non-transfusion-dependent thalassemia. This study investigated the effects of genetic polymorph...
Polymorphism, Single Nucleotide Predictive Value of Tests Area Under Curve Asian People Cross-Over Studies Adult Male Middle Aged Adolescent Iron Chelating Agents Glucuronosyltransferase Multidrug Resistance-Associated Proteins Multidrug Resistance-Associated Protein 2 Cytochrome P-450 CYP1A1 Healthy Volunteers Half-Life Drug Compounding Polymorphism, Genetic Deferasirox Humans Neural Networks, Computer Female Young Adult
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Does Artificial Intelligence Outperform Natural Intelligence in Interpreting Musculoskeletal Radiological Studies? A Systematic Review.

Clinical orthopaedics and related research Dec 1, 2020
BACKGROUND: Machine learning (ML) is a subdomain of artificial intelligence that enables computers to abstract patterns from data without explicit programming. A myriad of impactful ML applications already exists in orthopaedics ranging from predicti...
Ultrasonography Humans Musculoskeletal Diseases Magnetic Resonance Imaging Pattern Recognition, Automated Machine Learning Diagnosis, Differential Visual Perception Reproducibility of Results Predictive Value of Tests Musculoskeletal System Clinical Competence Radiographic Image Interpretation, Computer-Assisted Orthopedic Surgeons
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Machine learning to predict the long-term risk of myocardial infarction and cardiac death based on clinical risk, coronary calcium, and epicardial adipose tissue: a prospective study.

Cardiovascular research Dec 1, 2020
AIMS: Our aim was to evaluate the performance of machine learning (ML), integrating clinical parameters with coronary artery calcium (CAC), and automated epicardial adipose tissue (EAT) quantification, for the prediction of long-term risk of myocardi...
Humans Middle Aged Machine Learning Risk Assessment Time Factors Decision Support Techniques Adipose Tissue Sex Factors Prospective Studies Predictive Value of Tests Multidetector Computed Tomography Prognosis Female Coronary Angiography Vascular Calcification Risk Factors Cause of Death Computed Tomography Angiography Aged Radiographic Image Interpretation, Computer-Assisted Pericardium Male Coronary Artery Disease Myocardial Infarction
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Machine Learning Analysis of Blood microRNA Data in Major Depression: A Case-Control Study for Biomarker Discovery.

The international journal of neuropsychopharmacology Nov 26, 2020
BACKGROUND: There is a lack of reliable biomarkers for major depressive disorder (MDD) in clinical practice. However, several studies have shown an association between alterations in microRNA levels and MDD, albeit none of them has taken advantage of...
Affect Antidepressive Agents Circulating MicroRNA Humans Biomarkers Depressive Disorder, Major Severity of Illness Index Case-Control Studies RNA-Seq Treatment Outcome Unsupervised Machine Learning Predictive Value of Tests Supervised Machine Learning
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Detection of Pathogenic Variants With Germline Genetic Testing Using Deep Learning vs Standard Methods in Patients With Prostate Cancer and Melanoma.

JAMA Nov 17, 2020
IMPORTANCE: Less than 10% of patients with cancer have detectable pathogenic germline alterations, which may be partially due to incomplete pathogenic variant detection.
Germ-Line Mutation Prostatic Neoplasms Genetic Testing High-Throughput Nucleotide Sequencing DNA Mutational Analysis Male Humans Neural Networks, Computer Middle Aged Female Deep Learning Melanoma Genetic Predisposition to Disease Sensitivity and Specificity Predictive Value of Tests Cross-Sectional Studies
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Deep learning applications to combat the dissemination of COVID-19 disease: a review.

European review for medical and pharmacological sciences Nov 1, 2020
Recent Coronavirus (COVID-19) is one of the respiratory diseases, and it is known as fast infectious ability. This dissemination can be decelerated by diagnosing and quarantining patients with COVID-19 at early stages, thereby saving numerous lives. ...
Radiography, Thoracic Betacoronavirus Pneumonia, Viral Patient Isolation RNA, Viral SARS-CoV-2 Humans Quarantine Lung Pandemics Coronavirus Infections Deep Learning COVID-19 Polymerase Chain Reaction Image Processing, Computer-Assisted Tomography, X-Ray Computed Predictive Value of Tests
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Evaluating predictive models in reproductive medicine.

Fertility and sterility Nov 1, 2020
Predictive modeling has become a distinct subdiscipline of reproductive medicine, and researchers and clinicians are just learning the skills and expertise to evaluate artificial intelligence (AI) studies. Diagnostic tests and model predictions are s...
Reproductive Medicine Humans Artificial Intelligence Deep Learning Predictive Value of Tests
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The Performance of an Artificial Neural Network Model in Predicting the Early Distribution Kinetics of Propofol in Morbidly Obese and Lean Subjects.

Anesthesia and analgesia Nov 1, 2020
BACKGROUND: Induction of anesthesia is a phase characterized by rapid changes in both drug concentration and drug effect. Conventional mammillary compartmental models are limited in their ability to accurately describe the early drug distribution kin...
Humans Neural Networks, Computer Algorithms Female Reproducibility of Results Anesthetics, Intravenous Predictive Value of Tests Adult Obesity, Morbid Body Composition Male Models, Biological Nonlinear Dynamics Middle Aged Body Weight Anesthesia, Intravenous Propofol Blood Circulation
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Artificial intelligence in medical imaging: A radiomic guide to precision phenotyping of cardiovascular disease.

Cardiovascular research Nov 1, 2020
Rapid technological advances in non-invasive imaging, coupled with the availability of large data sets and the expansion of computational models and power, have revolutionized the role of imaging in medicine. Non-invasive imaging is the pillar of mod...
Reproducibility of Results Cardiovascular Diseases Diagnosis, Computer-Assisted Big Data Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Machine Learning Phenotype Prognosis Tomography, X-Ray Computed Clinical Decision-Making Humans
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How Does the Skeletal Oncology Research Group Algorithm's Prediction of 5-year Survival in Patients with Chondrosarcoma Perform on International Validation?

Clinical orthopaedics and related research Oct 1, 2020
BACKGROUND: The Skeletal Oncology Research Group (SORG) machine learning algorithm for predicting survival in patients with chondrosarcoma was developed using data from the Surveillance, Epidemiology, and End Results (SEER) registry. This algorithm w...
Chondrosarcoma Male Humans Middle Aged Machine Learning Bone Neoplasms Female Predictive Value of Tests Adult Italy
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