AIMC Topic: Young Adult
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Deep learning-based pupil model predicts time and spectral dependent light responses.
Scientific reports
Jan 12, 2021
Although research has made significant findings in the neurophysiological process behind the pupillary light reflex, the temporal prediction of the pupil diameter triggered by polychromatic or chromatic stimulus spectra is still not possible. State o...
A Machine Learning Approach Yields a Multiparameter Prognostic Marker in Liver Cancer.
Cancer immunology research
Jan 11, 2021
A number of staging systems have been developed to predict clinical outcomes in hepatocellular carcinoma (HCC). However, no general consensus has been reached regarding the optimal model. New approaches such as machine learning (ML) strategies are po...
Hepatectomy
Portal Vein
Lymphocyte Count
Kaplan-Meier Estimate
Models, Immunological
Immune Checkpoint Proteins
Female
Carcinoma, Hepatocellular
Risk Factors
Venous Thrombosis
Young Adult
Neoplasm Invasiveness
Humans
Adult
Liver
Machine Learning
T-Lymphocytes
Prognosis
Male
Retrospective Studies
Middle Aged
Risk Assessment
Adolescent
Liver Neoplasms
Neoplasm Staging
Deep learning-based computer-aided diagnosis in screening breast ultrasound to reduce false-positive diagnoses.
Scientific reports
Jan 11, 2021
A major limitation of screening breast ultrasound (US) is a substantial number of false-positive biopsy. This study aimed to develop a deep learning-based computer-aided diagnosis (DL-CAD)-based diagnostic model to improve the differential diagnosis ...
Mammography
Diagnosis, Differential
Humans
Ultrasonography, Mammary
Software
Breast
Retrospective Studies
False Positive Reactions
Female
Middle Aged
Reproducibility of Results
Diagnosis, Computer-Assisted
Aged
Deep Learning
Aged, 80 and over
Cohort Studies
Young Adult
Mass Screening
Adult
Breast Diseases
A deep learning model for diagnosing dystrophinopathies on thigh muscle MRI images.
BMC neurology
Jan 11, 2021
BACKGROUND: Dystrophinopathies are the most common type of inherited muscular diseases. Muscle biopsy and genetic tests are effective to diagnose the disease but cost much more than primary hospitals can reach. The more available muscle MRI is promis...
Screening of sleep apnea based on heart rate variability and long short-term memory.
Sleep & breathing = Schlaf & Atmung
Jan 10, 2021
PURPOSE: Sleep apnea syndrome (SAS) is a prevalent sleep disorder in which apnea and hypopnea occur frequently during sleep and result in increase of the risk of lifestyle-related disease development as well as daytime sleepiness. Although SAS is a c...
Deep learning enables the automation of grading histological tissue engineered cartilage images for quality control standardization.
Osteoarthritis and cartilage
Jan 8, 2021
OBJECTIVE: To automate the grading of histological images of engineered cartilage tissues using deep learning.
Comparison of different machine learning approaches to predict dental age using Demirjian's staging approach.
International journal of legal medicine
Jan 7, 2021
CONTEXT: Dental age, one of the indicators of biological age, is inferred by radiological methods. Two of the most commonly used methods are using Demirjian's radiographic stages of permanent teeth excluding the third molar (Demirjian's and Willems' ...
Automated Lateral Ventricular and Cranial Vault Volume Measurements in 13,851 Patients Using Deep Learning Algorithms.
World neurosurgery
Jan 6, 2021
BACKGROUND: No large dataset-derived standard has been established for normal or pathologic human cerebral ventricular and cranial vault volumes. Automated volumetric measurements could be used to assist in diagnosis and follow-up of hydrocephalus or...
Brain
Retrospective Studies
Tomography, X-Ray Computed
Female
Aged
Humans
Algorithms
Middle Aged
Deep Learning
Adolescent
Child, Preschool
Child
Natural Language Processing
Aged, 80 and over
Young Adult
Adult
Cross-Sectional Studies
Male
Skull
Atrophy
Lateral Ventricles
Cephalometry
Hydrocephalus
Models, Biological
Datasets as Topic
Neuroimaging
Raman spectroscopy of follicular fluid and plasma with machine-learning algorithms for polycystic ovary syndrome screening.
Molecular and cellular endocrinology
Jan 5, 2021
Polycystic ovary syndrome (PCOS) is the main cause of anovulatory infertility and affects women throughout their lives. The specific diagnostic method is still under investigation. In the present study, we aimed to identify the metabolic tracks of th...
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