AI Tool tagged posts

A new artificial intelligence (AI) tool could make it much easier—and cheaper—for doctors and researchers to train medical imaging software, even when only a small number of patient scans are available.

The AI tool improves upon a process called medical image segmentation, where every pixel in an image is labeled based on what it represents—cancerous or normal tissue, for example. This process is often performed by a highly trained expert, and deep learning has shown promise in automating this labor-intensive task.

The big challenge is t...

With the help of artificial intelligence (AI), an inexpensive test found in many doctors’ offices may soon be used to screen for hidden heart disease.

Structural heart disease, including valve disease, congenital heart disease, and other issues that impair heart function, affects millions of people worldwide. Yet in the absence of a routine, affordable screening test, many structural heart problems go undetected until significant function has been lost.

“We have colonoscopies, we have mammograms, but we have no equivalents for most forms of heart disease,” says Pierre Elias, assistant professor of medicine and biomedical informatics at Columbia University Vagelos College of Physicians and Surgeons and medical director for artificial intelligence at NewYork-Presbyterian.

Elias...

A tool developed by Keele University researchers has been shown to help detect fake news with an impressive 99% level of accuracy, offering a vital resource in combating online misinformation

The researchers Dr. Uchenna Ani, Dr. Sangeeta Sangeeta, and Dr. Patricia Asowo-Ayobode from Keele’s School of Computer Science and Mathematics, used a number of different machine learning techniques to develop their model, which can scan news content to give a judgment of whether a news source is trustworthy and genuine or not.

The method developed by the researchers uses an “ensemble voting” technique, which combines the predictions of multiple different machine learning models to give an overall score.

Impressively, this technique was accurate in identi...

“Alexa, play back that dream I had about Kirsten last week.” That’s a command that may not be too far off in the future, as researchers close in on technology that can tap into our minds and retrieve the imagery of our thoughts.

Researchers at the National University of Singapore and the Chinese University of Hong Kong reported last week that they have developed a process capable of generating video from brain scans. The research is published on the arXiv preprint server.

Using a process called functional magnetic resonance imaging (fMRI), researchers Jiaxin Qing, Zijiao Chen and Juan Helen Zhou coupled data retrieved through imaging with the deep learning model Stable Diffusion to create smooth, high quality videos.

Successful recreations of still imagery gleaned from brain ...