AIMC Topic: Retrospective Studies

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Deep-Learning Convolutional Neural Networks Accurately Classify Genetic Mutations in Gliomas.

AJNR. American journal of neuroradiology May 10, 2018
BACKGROUND AND PURPOSE: The World Health Organization has recently placed new emphasis on the integration of genetic information for gliomas. While tissue sampling remains the criterion standard, noninvasive imaging techniques may provide complimenta...
Humans Retrospective Studies Deep Learning Glioma Mutation DNA Modification Methylases DNA Repair Enzymes Female Adult Brain Neoplasms Male Middle Aged Tumor Suppressor Proteins Promoter Regions, Genetic Isocitrate Dehydrogenase
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Using machine learning to identify patterns of lifetime health problems in decedents with autism spectrum disorder.

Autism research : official journal of the International Society for Autism Research May 7, 2018
Very little is known about the health problems experienced by individuals with autism spectrum disorder (ASD) throughout their life course. We retrospectively analyzed diagnostic codes associated with de-identified electronic health records using a m...
Infant, Newborn Comorbidity Aged Adolescent Aged, 80 and over Child, Preschool Young Adult Child Adult Chronic Disease Algorithms Sensitivity and Specificity Humans Autism Spectrum Disorder Male Machine Learning Middle Aged Retrospective Studies Electronic Health Records Infant Female Prevalence
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Artificial Neural Network for the Prediction of Chromosomal Abnormalities in Azoospermic Males.

Urology journal May 3, 2018
PURPOSE: To evaluate whether an artifical neural network helps to diagnose any chromosomal abnormalities in azoospermic males.
Humans Neural Networks, Computer Retrospective Studies Adult Male Follicle Stimulating Hormone Models, Biological Luteinizing Hormone Body Height Testosterone Chromosome Aberrations Testis Organ Size Semen Azoospermia
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Machine learning-based diagnosis for disseminated intravascular coagulation (DIC): Development, external validation, and comparison to scoring systems.

PloS one May 2, 2018
The major challenge in the diagnosis of disseminated intravascular coagulation (DIC) comes from the lack of specific biomarkers, leading to developing composite scoring systems. DIC scores are simple and rapidly applicable. However, optimal fibrin-re...
Female Humans Male Neural Networks, Computer Middle Aged Machine Learning Disseminated Intravascular Coagulation Retrospective Studies
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Predicting suicide attempts in adolescents with longitudinal clinical data and machine learning.

Journal of child psychology and psychiatry, and allied disciplines Apr 30, 2018
BACKGROUND: Adolescents have high rates of nonfatal suicide attempts, but clinically practical risk prediction remains a challenge. Screening can be time consuming to implement at scale, if it is done at all. Computational algorithms may predict suic...
Humans Longitudinal Studies Machine Learning Male Self-Injurious Behavior Retrospective Studies Female Risk Assessment Suicide, Attempted Depression Adolescent
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Evolution of upper limb kinematics four years after subacute robot-assisted rehabilitation in stroke patients.

The International journal of neuroscience Apr 25, 2018
To assess functional status and robot-based kinematic measures four years after subacute robot-assisted rehabilitation in hemiparesis. Twenty-two patients with stroke-induced hemiparesis underwent a ≥3-month upper limb combined program of robot-ass...
Paresis Upper Extremity Stroke Rehabilitation Follow-Up Studies Recovery of Function Robotics Occupational Therapy Stroke Humans Retrospective Studies Female Aged Adult Biomechanical Phenomena Male Middle Aged Cohort Studies Time Factors
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Assessing Breast Cancer Risk with an Artificial Neural Network.

Asian Pacific journal of cancer prevention : APJCP Apr 25, 2018
Objectives: Radiologists face uncertainty in making decisions based on their judgment of breast cancer risk. Artificial intelligence and machine learning techniques have been widely applied in detection/recognition of cancer. This study aimed to esta...
ROC Curve Follow-Up Studies Mammography Breast Humans Aged Neural Networks, Computer Breast Neoplasms Algorithms Machine Learning Middle Aged Prognosis Case-Control Studies Retrospective Studies Diagnosis, Computer-Assisted Female
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Artificial intelligence weights the importance of factors predicting complete cytoreduction at secondary cytoreductive surgery for recurrent ovarian cancer.

Journal of gynecologic oncology Apr 23, 2018
OBJECTIVE: Accumulating evidence support that complete cytoreduction (CC) at the time of secondary cytoreductive surgery (SCS) improves survival in patients affected by recurrent ovarian cancer (ROC). Here, we aimed to determine whether artificial in...
Neoplasm, Residual Neoplasm Recurrence, Local Disease-Free Survival Cytoreduction Surgical Procedures Reoperation Neural Networks, Computer Humans Kaplan-Meier Estimate Middle Aged Prognosis Time Factors Retrospective Studies Treatment Outcome Female Ovarian Neoplasms Aged Neoplasm Staging
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Phenotypic Clustering of Left Ventricular Diastolic Function Parameters: Patterns and Prognostic Relevance.

JACC. Cardiovascular imaging Apr 18, 2018
OBJECTIVES: This study sought to explore the natural clustering of echocardiographic variables used for assessing left ventricular (LV) diastolic dysfunction (DD) in order to isolate high-risk phenotypic patterns and assess their prognostic significa...
Humans Machine Learning Phenotype Retrospective Studies Female Risk Factors Cause of Death Heart Ventricles Progression-Free Survival Ventricular Dysfunction, Left Hospitalization Image Interpretation, Computer-Assisted Pattern Recognition, Automated Middle Aged Aged Diastole Risk Assessment Aged, 80 and over Echocardiography, Doppler, Color Disease Progression Male Echocardiography, Doppler, Pulsed Cluster Analysis Ventricular Function, Left Predictive Value of Tests
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Automatic planning of needle placement for robot-assisted percutaneous procedures.

International journal of computer assisted radiology and surgery Apr 18, 2018
PURPOSE: Percutaneous procedures allow interventional radiologists to perform diagnoses or treatments guided by an imaging device, typically a computed tomography (CT) scanner with a high spatial resolution. To reduce exposure to radiations and impro...
Male Imaging, Three-Dimensional Robotics Needles Radiography, Interventional Algorithms Retrospective Studies Tomography, X-Ray Computed Clinical Decision-Making Humans
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