New AI model to speed up heart scans, boost treatment

Researchers have developed a very innovative method for analysing MRI heart scans with the help of artificial intelligence (AI) technology which could save valuable time and resources and improve patient care.

The teams from the Universities of East Anglia (UEA), Sheffield, and Leeds have created a model that uses AI to examine heart MRI scans in a view known as the four-chamber plane.

“This model determines the size and function of the heart’s chambers and demonstrates outcomes comparable to those done by doctors but unimaginably faster,” said Pankaj Garg, from the University of East Anglia’s Norwich Medical School

He noted that a standard MRI process takes 45 minutes, but the new model takes “a matter of seconds”, leading to an overall betterment of this field.

The retrospective observational study consisted of data from 814 patients. Further, scans and data from another 101 patients were also sampled.

While the previous studies focused on only the two main chambers of the heart, the new study focuses on all four.

The team said this would lead to faster, more accurate diagnoses and help patients.

They also stressed the need for future studies to focus on larger groups of patients from different hospitals, with different types of MRI scanners, and other common diseases seen in medical practice to verify the accuracy.

Picture used for illustrative purposes only.

Meanwhile, a study published on Friday has warned that books and movies of the future could all start to feel the same if creative industries embrace artificial intelligence to help write stories,

The research, which drew on hundreds of volunteers and was published in Science Advances, comes amid rising fears over the impact of widely available AI tools that turn simple text prompts into relatively sophisticated music, art and writing.

“Our goal was to study to what extent and how generative AI might help humans with creativity,” co-author Anil Doshi of the University College London told reporters.

For their experiment, Doshi and co-author Oliver Hauser of the University of Exeter recruited around 300 volunteers as “writers.”

These were people who didn’t write for a living, and their inherent creative ability was assessed by a standard psychology test that asked them to provide 10 drastically different words.

The scientists then split them randomly into three groups to write an eight-sentence story about one of three topics: an adventure on the open seas, an adventure in the jungle, or an adventure on another planet. Participants were also randomly placed into three groups that received varying levels of AI assistance.

The first group got no help, the second was provided a three-sentence story idea from ChatGPT, and the third could receive up to five AI-generated story ideas to help them get going.

After completing their stories, participants were asked to assess their own work’s creativity through measures including how novel it was, how enjoyable, and how much potential the idea had to be turned into a published book.

An additional 600 external human reviewers also judged the story on the same measures.

The authors found that, on average, AI boosted the quality of an individual writer’s creativity by up to 10 per cent, and the story’s enjoyability by 22 per cent, helping particularly with elements like structure and plot twists.

These effects were most significant for writers who were judged during the initial task to be the least creative, “so it has this kind of leveling the playing field effect,” said Doshi.

But on the collective level, they found AI-assisted stories looked much more similar to each other than those produced without any AI help, as writers “anchored” themselves too heavily to the suggested ideas.

Hauser said this created a “social dilemma.”

On the one hand, “you make it easier for people to get in; lowering barriers is good.”

But if the collective novelty of art decreases, “it could be harmful down the line.”

Doshi said the research also showed that, just like introducing pocket calculators to children too early could prevent them from learning how to do basic arithmetic, there was a danger that people could rely too much on AI tools before developing underlying skills in writing, music or more.

People need to start thinking about “where in my workflow can I insert this tool to get the most benefit, while still inserting my own voice into the project or outcome.”

Human-centric mobile AI is the future and open collaboration among the industry and a distinct approach to hybrid AI is the only way to achieve the best possible mobile AI experience for users, experts said on Saturday.

It’s not enough just to innovate for good but it is equally essential to do so responsibly, they added during an AI session.

“Within months, we have democratised Galaxy AI, extending access to more models and form factors. It’s a feat only possible through close collaboration with our industry partners and our distinct approach to hybrid AI to bring our users the most practical, reliable and versatile mobile AI experience possible,” said Won-Joon Choi, EVP and Head of Mobile R&D Office, Mobile eXperience Business, Samsung.

Indo-Asian News Service