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Artificial Intelligence and Machine Learning in Radiology: Opportunities, Challenges, Pitfalls, and Criteria for Success.

Journal of the American College of Radiology : JACR
Worldwide interest in artificial intelligence (AI) applications, including imaging, is high and growing rapidly, fueled by availability of large datasets ("big data"), substantial advances in computing power, and new deep-learning algorithms. Apart f...
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Biosignature Discovery for Substance Use Disorders Using Statistical Learning.

Trends in molecular medicine
There are limited biomarkers for substance use disorders (SUDs). Traditional statistical approaches are identifying simple biomarkers in large samples, but clinical use cases are still being established. High-throughput clinical, imaging, and 'omic' ...
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Outlier Removal in Model-Based Missing Value Imputation for Medical Datasets.

Journal of healthcare engineering
Many real-world medical datasets contain some proportion of missing (attribute) values. In general, missing value imputation can be performed to solve this problem, which is to provide estimations for the missing values by a reasoning process based o...

Neuroanatomical morphometric characterization of sex differences in youth using statistical learning.

NeuroImage
Exploring neuroanatomical sex differences using a multivariate statistical learning approach can yield insights that cannot be derived with univariate analysis. While gross differences in total brain volume are well-established, uncovering the more s...

Ensemble support vector machine classification of dementia using structural MRI and mini-mental state examination.

Journal of neuroscience methods
BACKGROUND: The International Challenge for Automated Prediction of MCI from MRI data offered independent, standardized comparison of machine learning algorithms for multi-class classification of normal control (NC), mild cognitive impairment (MCI), ...

An expert system design to diagnose cancer by using a new method reduced rule base.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVES: A Medical Expert System (MES) was developed which uses Reduced Rule Base to diagnose cancer risk according to the symptoms in an individual. A total of 13 symptoms were used. With the new MES, the reduced rules are controll...

Deep Learning-Based Gaze Detection System for Automobile Drivers Using a NIR Camera Sensor.

Sensors (Basel, Switzerland)
A paradigm shift is required to prevent the increasing automobile accident deaths that are mostly due to the inattentive behavior of drivers. Knowledge of gaze region can provide valuable information regarding a driver's point of attention. Accurate ...
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Modeling when and where a secondary accident occurs.

Accident; analysis and prevention
The occurrence of secondary accidents leads to traffic congestion and road safety issues. Secondary accident prevention has become a major consideration in traffic incident management. This paper investigates the location and time of a potential seco...