AI Research
Researchers develop more precise new AI tool to predict risk of heart attack
Researchers from The University of Western Australia, working with medtech industry partners Artrya, have developed a new, fully automated AI algorithm that is more effective than current methods at predicting the risk of heart attack.
First author Dr Gavin Huangfu, from UWA’s Medical School, Harry Perkins Institute of Medical Research and Fiona Stanley Hospital, said coronary artery calcium scoring had revolutionised the prevention of heart disease in those with no symptoms, but the way it was measured had inherent drawbacks.
“It does not account for the location of calcified plaques along the coronary arteries despite knowledge that disease near the start of the artery carries greater risk,” Dr Huangfu said.
“Also, highly calcified plaques are assigned paradoxically higher risk, although are otherwise considered stable plaques and actually confer lower risk of cardiac events such heart attack or sudden death due to heart attack.
“Solutions to these flaws require analysis of each individual plaque, which is not feasible for a human investigator, but readily attainable using artificial intelligence.”
The team found the algorithm, known as CAC-DAD score, was capable of measuring the burden of coronary calcification as well as each lesion’s distance from the coronary artery origin and reclassifying highly dense plaque as low risk – all done with a single click.
“We found that the CAC-DAD score is more precise and effective than the standard Agatston score at predicting the risk of cardiac events, particularly around the time of surgery, in vulnerable populations,” Dr Huangfu said.
“We also found the combined use of Agatston score and CAC-DAD score together further improved risk prediction, opening many possibilities for its clinical use.”
Senior author Professor Girish Dwivedi, also from UWA’s Medical School, said heart disease remained the leading cause of death in developed countries.
“The optimal treatment remains prevention, which relies on accurate risk stratification to identify those at greatest risk who should receive targeted and aggressive preventative measures,” Professor Dwivedi said.
“Your calcium score is the single, greatest predictor for your risk of having a first heart attack and optimising its accuracy will have significant benefits for the management of your risk.
“The shift to personalised care is a necessity and requires personalised investigations on top of population-based clinical risk scores.
“The greatest benefit of calcium scoring is its wide ease of applicability and interpretation. Once validated in other studies, our simple, yet powerful output of the CAC-DAD score can be used to guide management of patients by all members of the medical community.
“From here, we look forward to examining and validating the predictive power of the CAC-DAD score in larger, international cohorts.”
The project was made possible by the collaboration between UWA, Artrya Ltd, South Metropolitan Health Service, Harry Perkins Institute of Medical Research, Victor Chang Cardiac Research Institute, the University of Ottawa Heart Institute in Canda and international efforts from the Vision group.
AI Research
Digital Agency Fuel Online Launches AI SEO Research Division,
Boston, MA – As Google continues to reshape the digital landscape with its Search Generative Experience (SGE) and AI-powered search results, Fuel Online [https://fuelonline.com/] is blazing a trail as the nation’s leading agency in AI SEO [https://fuelonline.com/]and SGE optimization [https://fuelonline.com/].
Recognizing the urgent need for businesses to adapt to AI-first search engines, Fuel Online has launched a dedicated AI SEO Research & Development Division focused exclusively on decoding how AI models like Google SGE read, rank, and render web content. The division’s mission: to test, reverse-engineer, and deploy cutting-edge strategies that future-proof clients’ visibility in an era of AI-generated search answers.
“AI is not the future of SEO – it’s the present . If your content doesn’t rank in SGE, it may never be seen. That’s why we’re investing heavily in understanding and optimizing for how large language models surface content,” said Scott Levy, CEO of Fuel Online Digital Marketing Agency [https://fuelonline.com/].
Fuel Online’s Digital Marketing team is already helping Fortune 500 brands, high-growth startups, and ecommerce leaders gain traction in AI-powered results using proprietary tactics including:
* NLP entity linking & semantic schema
* SGE-optimized content blocks & voice search targeting
* AI-readiness audits tailored for Google’s evolving ranking models
As detailed in their comprehensive Google SGE & AI Optimization Guide [https://fuelonline.com/insights/google-sge-and-ai-optimization-guide-how-to-optimize/], Fuel Online offers strategic insight into aligning websites with Google’s new generative layer. The agency also provides live testing environments, allowing clients to see firsthand how AI engines interpret their content. Why This Matters: According to industry data, click-through rates have dropped by up to 60% on some keywords since the rollout of SGE, as users get direct AI-generated answers instead of traditional blue links. Fuel Online’s AI SEO division helps clients reclaim that lost visibility and win placement inside AI search results. With over two decades of award-winning digital strategy under its belt and a reputation as one of the top digital marketing agencies in the U.S., Fuel Online is once again setting the standard – this time for the AI optimization era.
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https://FuelOnline.com
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AI Research
AI, Wrong Guy: Investigating the use and dangers of artificial intelligence in Jacksonville policing – Action News Jax
AI Research
Investigating the use and dangers of artificial intelligence in Jacksonville policing
A Lee County man was wrongfully arrested last year after AI facial recognition technology used by the Jacksonville Sheriff’s Office got it wrong. Experts are now warning about the potential dangers of the technology.
The Jacksonville Beach Police Department said 51-year-old Robert Dillon allegedly tried luring a 12-year-old child in Jacksonville Beach back in November of 2023. According to a police report, Dillon was linked to a suspect caught on surveillance video in a Jacksonville Beach McDonald’s through the use of the Jacksonville Sheriff’s Office’s AI facial recognition technology.
Jacksonville Beach PD conferred with JSO, according to the report, and the technology found a 93% match between Dillon and the suspect using that technology. The report says police then provided a photo spread of Dillon and other similar-looking individuals to two witnesses. Both identified Dillon as the suspect.
However, the case would later be completely dropped. The state attorney’s office told Action News Jax the arrest will be wiped from Mr. Dillon’s record.
“Police are not allowed under the Constitution to arrest somebody without probable cause,” Nate Freed-Wessler with the American Civil Liberties Union would later tell Action News Jax. “And this technology expressly cannot provide probable cause, it is so glitchy, it’s so unreliable. At best, it has to be viewed as an extremely unreliability lead because it often, often gets it wrong.”
Freed-Wessler is the deputy director for the ACLU’s Speech, Privacy, and Technology Project. He was also part of the legal team that helped sue on behalf of Robert Williams – a Detroit man wrongfully arrested thanks to facial recognition similar to the technology used to identify Dillon. The Detroit Police department settled that case for $300,000 in damages, and implemented safeguards when using AI facial recognition in their investigations.
Freed-Wessler told Action News Jax that wrongful arrests using AI facial recognition are more common than many think, especially among people of color.
“It’s partly because of photo quality problems in low light situations, when the cameras are trying to identify darker skin people,” Freed-Wessler explained. “In fact, in almost all of the wrongful arrest cases around the country that we know of, it’s been black people who have been incorrectly, wrongfully picked up by police.”
Action News Jax sat down with Jacksonville Sheriff T.K. Waters to discuss the use of AI facial recognition technology in Jacksonville Sheriff’s Office investigations. Sheriff Waters reassured the technology is simply a small piece of the investigative puzzle.
“If you came to me with a facial recognition hit and that was your probable cause, I would probably kick you out of my office because that’s not how it works,” Sheriff Waters explained. “And I can’t speak to [the Jacksonville Beach Police Department’s] investigation. I can tell you this, there better be a lot more that goes along with that to help make sure that we have the proper individual too.”
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However, Freed-Wessler believes this procedure wasn’t properly followed by Jacksonville Beach police in their investigation, adding that photo spreads based on a facial recognition match aren’t sufficient evidence to make an arrest.
“When this technology gets it wrong, it’s going to get it wrong with a face of somebody who looks similar to the suspect,” Freed-Wessler explained. “It’s no surprise that when police juice a lineup procedure with a doppelganger, with a lookalike, a witness is going to choose an innocent person.”
Now, the Jacksonville Beach Police Department tells Action News Jax the investigation is still open after Dillon was cleared of any wrongdoing, adding in part:
“We will not be commenting on this matter beyond stating that all warrant requests are submitted to the state attorney’s office. It is solely their decision whether or not to move forward with issuing a warrant.”
Action News Jax reached out to the state attorney’s office as well. A spokesman only confirmed Dillon was cleared of any wrongdoing.
Now, Dillon’s lawyer tells Action News Jax that he is seeking compensation, although he and Dillon declined interview requests.
Meanwhile Courtney Barclay, an AI policy expert at Jacksonville University, said law enforcement agencies across the nation will continue to use AI and facial recognition. Barclay outlined the need to always second-guess.
“Every industry is just now starting to scratch the surface of the potential of AI, how it can impact our society. Law enforcement is no exception,” Barclay said. “And so, again, we just want to be cognizant of the risks.”
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