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Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...
The Food and Drug Administration (FDA) has cleared the Eko Murmur Analysis Software, a cloud-based machine learning algorithm, to detect and characterize heart murmurs in adults and pediatric ...
For example, Google has developed an algorithm that can detect breast cancer based on images. In the future, machine learning will be used to diagnose more complex conditions such as Alzheimer's ...
But a type of attack called “membership inference” makes it possible to detect the data used to train a machine learning model. In many cases, the attackers can stage membership inference ...
AI And ML Fraud Detection. Let’s start with the way AI deals with payment fraud. Merchant losses are projected to reach $38 billion in 2023, driven by credit card fraud, phishing, chargebacks ...
Researchers at the University of Pittsburgh School of Medicine and Carnegie Mellon University College of Engineering have created a machine-learning algorithm that can detect subtle signs of ...
Deep learning enables rapid detection of stroke-causing blockages. Assistance from the deep-learning algorithm improved the radiologists’ performance in detecting the cerebral aneurysms, increasing ...
The Messidor-2 dataset had 1,748 images of 874 patients and 15 percent of fully gradable images. The algorithm achieved high sensitivities for detecting referable diabetic retinopathy (97.5 ...
Parmar et al. doi 10.1117/1.JMI.7.5.056001.] “Deep learning CNNs could be used to extract functional biomarkers related to AD, which could be helpful in the early detection of AD-related ...
In another real-world case, user input permanently altered an ML algorithm. Microsoft launched its new chatbot “Tay” on Twitter in 2016, attempting to mimic a teenage girl’s conversational ...
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