AIMC Topic: Predictive Value of Tests

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A machine learning system with reinforcement capacity for predicting the fate of an ART embryo.

Systems biology in reproductive medicine Feb 1, 2021
The aim of this work was o construct a score issued from a machine learning system with self-improvement capacity able to predict the fate of an ART embryo incubated in a time lapse monitoring (TLM) system. A retrospective study was performed. For th...
Humans Machine Learning Retrospective Studies Reproductive Techniques, Assisted Embryo Culture Techniques Single Embryo Transfer Kinetics Female Models, Biological Adult Embryo, Mammalian Male Embryonic Development Predictive Value of Tests Maternal Age
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Building Trust in AI: Opportunities and Challenges for Cardiac Imaging.

JACC. Cardiovascular imaging Feb 1, 2021
Humans Artificial Intelligence Trust Predictive Value of Tests Cardiac Imaging Techniques
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Deep Learning Detection of Sea Fan Neovascularization From Ultra-Widefield Color Fundus Photographs of Patients With Sickle Cell Hemoglobinopathy.

JAMA ophthalmology Feb 1, 2021
IMPORTANCE: Adherence to screening for vision-threatening proliferative sickle cell retinopathy is limited among patients with sickle cell hemoglobinopathy despite guidelines recommending dilated fundus examinations beginning in childhood. An automat...
Adult Cross-Sectional Studies Male Middle Aged Deep Learning Retrospective Studies Female Reproducibility of Results Humans Young Adult Pattern Recognition, Automated Fluorescein Angiography Photography Retinal Neovascularization Predictive Value of Tests Retinal Vessels Anemia, Sickle Cell Image Interpretation, Computer-Assisted Observer Variation
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Prediction and comparison of postural discomfort based on MLP and quadratic regression.

Journal of occupational health Jan 1, 2021
OBJECTIVE: The objective of this study was to predict postural discomfort based on the deep learning-based regression (multilayer perceptron [MLP] model).
Regression Analysis Adult Predictive Value of Tests Humans Male Pain Female Risk Assessment Ergonomics Deep Learning Posture
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Relevance of Complaint Severity in Predicting the Progression of Subjective Cognitive Decline and Mild Cognitive Impairment: A Machine Learning Approach.

Journal of Alzheimer's disease : JAD Jan 1, 2021
BACKGROUND: The presence of subjective cognitive complaints (SCCs) is a core criterion for diagnosis of subjective cognitive decline (SCD); however, no standard procedure for distinguishing normative and non-normative SCCs has yet been established.
Aged, 80 and over Male Middle Aged Disease Progression Severity of Illness Index Cognitive Dysfunction Follow-Up Studies Predictive Value of Tests Diagnostic Self Evaluation Humans Machine Learning Female Aged
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Machine Learning for the Prediction of Amyloid Positivity in Amnestic Mild Cognitive Impairment.

Journal of Alzheimer's disease : JAD Jan 1, 2021
BACKGROUND: Amyloid-β (Aβ) evaluation in amnestic mild cognitive impairment (aMCI) patients is important for predicting conversion to Alzheimer's disease. However, Aβ evaluation through Aβ positron emission tomography (PET) is limited due to high cos...
Mental Recall Hippocampus Middle Aged Cerebral Cortex Disease Progression Reproducibility of Results Cognitive Dysfunction Magnetic Resonance Imaging Risk Factors Neuropsychological Tests Cohort Studies Predictive Value of Tests Humans Aged Apolipoproteins E Area Under Curve Machine Learning Aged, 80 and over Amyloid beta-Peptides Algorithms Male Positron-Emission Tomography Female
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Deep learning model for the prediction of microsatellite instability in colorectal cancer: a diagnostic study.

The Lancet. Oncology Jan 1, 2021
BACKGROUND: Detecting microsatellite instability (MSI) in colorectal cancer is crucial for clinical decision making, as it identifies patients with differential treatment response and prognosis. Universal MSI testing is recommended, but many patients...
Image Interpretation, Computer-Assisted Eosine Yellowish-(YS) Hematoxylin Humans Colorectal Neoplasms Phenotype Diagnosis, Computer-Assisted Reproducibility of Results Staining and Labeling Predictive Value of Tests Deep Learning Microsatellite Instability Genetic Predisposition to Disease Coloring Agents Microscopy
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Toward Improved and Standardized Diagnostic Pipelines in Transplantation.

Transplantation Jan 1, 2021
Machine Learning Reproducibility of Results Diagnosis, Computer-Assisted Molecular Diagnostic Techniques Treatment Outcome Humans Workflow Observer Variation Predictive Value of Tests Graft Rejection Organ Transplantation Biopsy
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Feasibility of using deep learning to detect coronary artery disease based on facial photo.

European heart journal Dec 7, 2020
AIMS: Facial features were associated with increased risk of coronary artery disease (CAD). We developed and validated a deep learning algorithm for detecting CAD based on facial photos.
Cross-Sectional Studies Deep Learning Humans Predictive Value of Tests Feasibility Studies Coronary Angiography Coronary Stenosis Coronary Artery Disease
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Predicting Secukinumab Fast-Responder Profile in Psoriatic Patients: Advanced Application of Artificial-Neural-Networks (ANNs).

Journal of drugs in dermatology : JDD Dec 1, 2020
BACKGROUND: Drug resistance to biologics in psoriasis therapy can occur – it may be acquired during a treatment or else present itself from the beginning. To date, no biomarkers are known that may reliably guide clinicians in predicting respons...
Severity of Illness Index Predictive Value of Tests Deep Learning Injections, Subcutaneous Drug Resistance Female Humans Pilot Projects Treatment Outcome Models, Immunological Adult Prospective Studies Time Factors Antibodies, Monoclonal, Humanized Male Biomarkers Psoriasis Middle Aged Prognosis Biological Products
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