A new study by TSYS School computer science professor Rania Hodhod and research colleagues from Princess Nourah Bint Abdulrahman University (Saudi Arabia) and Ain Shams University (Egypt) extends the academic literature demonstrating how artificial intelligence, in particular deep learning, has proven to be efficient in medical diagnosis. The study, which appears in the current issue of Electronics, introduces a new hybrid deep learning model for pneumonia diagnosis based on chest CT scans. The core of the model developed by Hodhod and colleagues includes an expectation-maximization algorithm that works to extract the regions of interest from the chest CT scans while also preventing it from learning trivial solutions. To test their model, the researchers examined a dataset of chest X-rays for pneumonia from the Kaggle website. The data set contains 5,856 images with 1,583 normal cases and 4,273 pneumonia cases, with an imbalance ratio of 0.46. To better balance the data, Hodhod and colleagues implemented several operations including zooming, flipping, shifting and rotation, ultimately resulting in an imbalance ratio of only 0.028. The computational analysis of the results show that the proposed model is quite promising, as it provides an average accuracy value of 98.6 percent.
Officials in the Turner College's Butler Center for Research and Economic Development recently put the finishing touches on an extensive report on trends in educational programs and occupations in the Columbus area. The report also includes data on business and technology trends. According to Fady Mansour , Director of the Butler Center, there are several key takeaways from the report regarding 10 occupational gaps that currently exist in the Columbus area. First, software development occupation exhibits the biggest labor shortage, with the report adding that the TSYS School has a bachelor's degree program in information technology along with a new AI track for the bachelor's degree in computer science, both of which can qualify students for this occupation. Other educational programs are in demand, such as computer programming and cloud computing. Second, there is a gap of 30 employees per year in general and operations management. This gap could be addressed by the Turn...

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