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 ...

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 ...

Cardiovascular diseases (heart diseases) are the leading cause of death worldwide. The earlier they can be predicted and classified; the more lives can be saved. Electrocardiogram (ECG) is a common, ...

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 ...

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 ...

A machine learning algorithm for detecting and classifying acute respiratory disease showed good predictive ability based on cough sounds among pediatric patients, according to a new study ...

As a result, NLP greatly extends the capabilities and effectiveness of machine learning. The Deepfake Challenge Then, there is the “most entertaining” fraud of them all: deepfakes.