AIMC Topic: Young Adult
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Identifying Fatal Head Injuries on Postmortem Computed Tomography Using Convolutional Neural Network/Deep Learning: A Feasibility Study.
Journal of forensic sciences
Jul 8, 2020
Postmortem computed tomography (PMCT) is a relatively recent advancement in forensic pathology practice that has been increasingly used as an ancillary investigation and screening tool. One area of clinical CT imaging that has garnered a lot of resea...
Using trauma registry data to predict prolonged mechanical ventilation in patients with traumatic brain injury: Machine learning approach.
PloS one
Jul 8, 2020
OBJECTIVES: We aimed to build a machine learning predictive model to predict the risk of prolonged mechanical ventilation (PMV) for patients with Traumatic Brain Injury (TBI).
Evaluation of mental workload during automobile driving using one-class support vector machine with eye movement data.
Applied ergonomics
Jul 6, 2020
The aim of this study is to investigate the usefulness of the anomaly detection method by one-class support vector machine (OCSVM) for the evaluation of mental workload (MWL) during automobile driving. Twelve students (six males and six females) part...
Personalized connectome fingerprints: Their importance in cognition from childhood to adult years.
NeuroImage
Jul 4, 2020
Structural neural network architecture patterns in the human brain could be related to individual differences in phenotype, behavior, genetic determinants, and clinical outcomes from neuropsychiatric disorders. Recent studies have indicated that a pe...
COVID-19 Patient Health Prediction Using Boosted Random Forest Algorithm.
Frontiers in public health
Jul 3, 2020
Integration of artificial intelligence (AI) techniques in wireless infrastructure, real-time collection, and processing of end-user devices is now in high demand. It is now superlative to use AI to detect and predict pandemics of a colossal nature. T...
A priori prediction of tumour response to neoadjuvant chemotherapy in breast cancer patients using quantitative CT and machine learning.
Scientific reports
Jul 2, 2020
Response to Neoadjuvant chemotherapy (NAC) has demonstrated a high correlation to survival in locally advanced breast cancer (LABC) patients. An early prediction of responsiveness to NAC could facilitate treatment adjustments on an individual patient...
Receptors, Progesterone
Adult
Carcinoma, Lobular
Breast Neoplasms
Middle Aged
Tomography, X-Ray Computed
Adolescent
Female
Antineoplastic Combined Chemotherapy Protocols
ROC Curve
Aged
Humans
Neoadjuvant Therapy
Aged, 80 and over
Machine Learning
Follow-Up Studies
Young Adult
Prognosis
Receptor, ErbB-2
Carcinoma, Ductal, Breast
Receptors, Estrogen
Brain-optimized extraction of complex sound features that drive continuous auditory perception.
PLoS computational biology
Jul 2, 2020
Understanding how the human brain processes auditory input remains a challenge. Traditionally, a distinction between lower- and higher-level sound features is made, but their definition depends on a specific theoretical framework and might not match ...
Trust in artificial intelligence for medical diagnoses.
Progress in brain research
Jul 2, 2020
We present two online experiments investigating trust in artificial intelligence (AI) as a primary and secondary medical diagnosis tool and one experiment testing two methods to increase trust in AI. Participants in Experiment 1 read hypothetical sce...
Evaluation of marker selection methods and statistical models for chronological age prediction based on DNA methylation.
Legal medicine (Tokyo, Japan)
Jul 1, 2020
In forensic investigation, retrieving biological information from DNA evidence is a promising field of interest. One of the applications is on the estimation of the age of the donor based on DNA methylation. A large number of studies focused on age p...
Prospective evaluation of an artificial intelligence-enabled algorithm for automated diabetic retinopathy screening of 30 000 patients.
The British journal of ophthalmology
Jun 30, 2020
BACKGROUND/AIMS: Human grading of digital images from diabetic retinopathy (DR) screening programmes represents a significant challenge, due to the increasing prevalence of diabetes. We evaluate the performance of an automated artificial intelligence...
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