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AI Predicts Sudden Cardiac Death Risk

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A new artificial intelligence (AI) model has shown significant improvement in predicting which patients are at high risk of sudden cardiac arrest, surpassing the accuracy of traditional clinical methods. The research, led by Johns Hopkins University and funded by the federal government, focuses on hypertrophic cardiomyopathy, a genetic heart condition that can lead to sudden cardiac death, particularly in young individuals and athletes.

Enhancing risk prediction with medical imaging

The AI model, called Multimodal AI for Ventricular Arrhythmia Risk Stratification (MAARS), analyzes a variety of medical records and heart imaging to assess a patient’s risk of sudden cardiac death. While the current clinical guidelines used by doctors have only a 50% accuracy rate in identifying patients at high risk, MAARS outperforms these guidelines, with an accuracy rate of 89% across all patients and up to 93% for patients aged 40 to 60, who are at the highest risk.

The breakthrough comes from the model’s ability to examine contrast-enhanced MRI images of the heart, a technique that has not previously been used in such detail. The AI identifies patterns of fibrosis—scarring in the heart—that are associated with higher risk but often overlooked in traditional assessments. This capability is crucial because fibrosis is a key marker for sudden cardiac death in patients with hypertrophic cardiomyopathy, yet it has been challenging for doctors to interpret the raw MRI images.

Potential for life-saving interventions

This AI-driven model could help doctors better target their interventions. By predicting which patients are at the greatest risk, it could potentially save lives by recommending preventive measures, such as the implantation of a defibrillator. On the other hand, it could also prevent unnecessary treatments for patients who do not require such interventions.

The research team’s model offers the added benefit of explaining why a particular patient is considered high-risk, allowing doctors to develop a personalized treatment plan based on individual needs. This could transform clinical care by improving the precision and effectiveness of medical interventions.

Expanding the model’s capabilities

The Johns Hopkins team plans to continue testing the AI model on additional patient groups and hopes to expand its application to other heart conditions such as cardiac sarcoidosis and arrhythmogenic right ventricular cardiomyopathy. Their previous work has also demonstrated the potential of AI to assess survival predictions for patients with heart infarcts, further showing the promise of these models in cardiology.

The study’s authors include Changxin Lai, Minglang Yin, Eugene G. Kholmovski, Dan M. Popescu, Edem Binka, Stefan L. Zimmerman, Allison G. Hays from Johns Hopkins, as well as Dai-Yin Lu and M. Roselle Abraham from the Hypertrophic Cardiomyopathy Center of Excellence at the University of California San Francisco, and Erica Scherer and Dermot M. Phelan from Atrium Health. The research was supported by National Institutes of Health grants and a Leducq Foundation grant.

Reference: Rogers AJ, Reynbakh O, Ahmed A, et al. Cardiovascular imaging techniques for electrophysiologists. Nat Cardiovasc Res. 2025. doi:10.1038/s44161-025-00648-8

This article has been republished from the following materials. Note: material may have been edited for length and content. For further information, please contact the cited source. Our press release publishing policy can be accessed here.

This content includes text that has been generated with the assistance of AI. Technology Networks’ AI policy can be found here.



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Relativity Scales Generative AI Availability Across Asia

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RelativityOne users in five more countries will be empowered with enhanced document review and privilege identification capabilities

CHICAGO, July 7, 2025 /PRNewswire/ — Relativity, a global legal technology company, today announced that two of its generative AI solutions, Relativity aiR for Review and Relativity aiR for Privilege, will now be made available to all RelativityOne instances located in Hong Kong, India, Japan, Singapore and South Korea. Expanding on its previous availability, legal, investigation, and compliance teams in Asia will be equipped with the generative-AI powered document review solution and privilege review solution to help navigate the full spectrum of legal data challenges while reaping the benefits of better infrastructure and privacy.

Asia’s diverse legal landscape presents unique and evolving challenges, and legal teams across the region need technology that can keep pace,” said Chris Brown, Chief Product Officer at Relativity. “Whether it be for litigation, regulatory responses, or internal investigations, Relativity aiR products provide the necessary features to manage large volumes of data more effectively. As adoption grows across the globe, and real-world use cases continue to demonstrate impact, Relativity’s customers and partners can feel confident in the power and practicality of AI in their workflows.”

Enhancing the capabilities of legal teams across Asia with intelligent tools

Customers and partners in five additional countries will now be able to leverage aiR for Review and aiR for Privilege to deliver exceptional efficiency and accuracy in document and privilege review. This regional expansion underscores Relativity’s commitment to providing innovative solutions that align with the evolving needs of legal professionals in Asia and across the globe.

“Customers in Asia are facing a perfect storm — small teams, complex and diverse data sources, multilingual review, and constant pressure from clients to cut costs,” said Stuart Hall, Principal at Control Risks. “The launch of Relativity aiR in Asia couldn’t be more timely, offering Control Risks’ customers a real opportunity to simplify and streamline cross-border investigations and disputes with smarter tools and workflows.”

The introduction of Relativity aiR products in Asia is bolstered by the region’s growing demand for secure, scalable legal technology. Built within RelativityOne, these AI tools allow firms to harness the power of automation without compromising security or performance. By operating in a cloud-native environment, legal and compliance teams can eliminate the burden of managing physical infrastructure, standardize workflows across jurisdictions and redirect resources toward strategic analysis.

In response to the growing volume of investigative matters, organizations will be able to utilize aiR for Review to support a wide range of use cases beyond litigation — including internal investigations into fraud, bribery, corruption and whistleblower complaints. Legal and compliance teams can also rely on the tool for Know Your Customer (KYC) reviews, cross-border data transfer assessments and anti-money laundering efforts. Its versatility extends even further, supporting M&A due diligence, risk assessments, trade secret theft inquiries, white-collar investigations and HR-related matters.

For organizations concerned with data protection, Relativity’s cloud-native products, including aiR, offer peace of mind with enterprise-grade security and privacy controls. Backed by the company’s in-house security team, Relativity embeds protection into every stage of its product lifecycle. This security-first approach ensures that as firms adopt cutting-edge AI tools, their information is properly safeguarded.

Looking ahead, Relativity remains focused on empowering users through innovation, delivering rich insights and addressing their most pressing needs. In the coming months, new capabilities will be introduced within aiR for Review and aiR for Privilege. One upcoming enhancement is aiR for Review’s prompt kickstarter capability, which will greatly reduce manual work related to prompt criteria development. Soon, users will be able to upload case background documents — such as review protocols or disclosure requests—and an expert prompt that drives aiR for Review will automatically be produced, allowing users to accelerate analyses. This feature produces a comprehensive matter overview, including key people, organizations, term descriptions and relevance criteria. From there, teams can refine prompts as needed, accelerating the review process and enabling practitioners to take immediate action.

Additionally, aiR for Privilege users will soon be able to find privileged content faster by automating context building that the AI uses to make decisions. Furthermore, a brand-new entity classifier will more accurately identify and classify the entities within each case. This enhancement will help better identify and define the roles of individuals and organizations in a matter, improving precision and efficiency in privilege review.

Unlocking new possibilities for innovation

To achieve their goals with greater precision and reduced overhead, more than 200 customers have embraced aiR for Review, while over 140 have chosen aiR for Privilege to support their workflows. The scalability and transparent natural language reasoning of this industry-leading technology help customers secure faster results while uncovering deeper insights from data.

KordaMentha, an independent and trusted advisory and investment firm working across industries throughout Australia and Asia Pacific, has transformed its legal discovery approach since adopting aiR for Review. The solution has surfaced insights that conventional methods would have overlooked entirely. A recent case study highlights how aiR for Review enabled a defensible and comprehensive review under a tight disclosure deadline, in total saving 25+ days and reducing costs by 85%. With subject matter experts leading the process, KordaMentha was able to uncover several unanticipated findings that drove organizational change.

“Whether as a renowned center for international arbitration, a market with extensive regulatory and investigative demands, or a source of exponential data growth, Asia is a dynamic region uniquely suited to Relativity’s aiR suite,” said Roman Barbera, Partner at KordaMentha. “Building on RelativityOne’s proven ability to navigate diverse languages and data types, aiR delivers exceptional scalability and insight. We’re excited to deploy this trusted and secure AI solution in a region where KordaMentha is already deeply embedded, and where the need for fast, intelligent and defensible data analysis continues to grow.”

In addition to the current aiR product availability, Relativity aiR for Case Strategy, a cutting-edge solution that makes it faster and simpler for litigation attorneys to extract facts, craft case narratives and prepare for depositions and trial, is currently in limited general availability and is expected to become generally available to all regions with access to aiR products later this year.

For more information about the expansion of aiR availability in Asia, please register for the webinar “Transforming Legal Work in Asia: Introducing Relativity aiR for Review and aiR for Privilege,” taking place on July 22. The webinar will offer a first-hand look at aiR for Review and aiR for Privilege through live demonstrations and real stories from early adopters who’ve already transformed their practices. Request a demo from the Relativity team here.

About Relativity
Relativity makes software to help users organize data, discover the truth and act on it. Its SaaS product, RelativityOne, manages large volumes of data and quickly identifies key issues during litigation and internal investigations. Relativity has more than 300,000 users in approximately 40 countries serving thousands of organizations globally primarily in legal, financial services and government sectors, including the U.S. Department of Justice and 198 of the Am Law 200. Please contact Relativity at [email protected] or visit www.relativity.com for more information.

Media Contact: [email protected]

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Why data center, tech firms are concerned about Chile’s AI regulation

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Player faith in technology shaken by storm around AI line-calling at Wimbledon | Wimbledon 2025

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When the Wimbledon organisers announced last year that electronic line-calling would replace line judges for the first time at the Championships this year, plenty of criticism could have been anticipated. Some people would take issue with the more sterile landscape on court and the lack of human touch, while the cull of around 300 linesmen and women would also surely be a sore point. It is difficult, however, to imagine they were prepared for the firestorm that has followed its long-awaited implementation at this tournament.

Electronic line-calling, or ELC, which uses automated ball-tracking technology has, after all, long been used in professional tennis tournaments, starting with the Next Gen ATP Finals in 2018. It has been four years since the Australian Open became the first grand slam to utilise the technology and this year, for the first time, the men’s tour, the ATP, is using ELC at all of its events. Although all other men’s clay-court events use ELC, the French Open is now the only grand slam that still employs human line judges.

Instead of this year offering Wimbledon to step into the future, however, the All England Lawn Tennis Club (AELTC) has spent the first eight days of the tournament defending its implementation of the technology.

For the first five days of the tournament the most significant blows were the parting shots from Jack Draper and Emma Raducanu, the men’s and women’s British No 1 players, who each criticised the ELC system following their defeats. Both players believed they had been subjected to incorrect calls. “It’s kind of disappointing, the tournament here, that the calls can be so wrong, but for the most part they’ve been OK. It’s just, like, I’ve had a few in my other matches, too, that have been very wrong,” Raducanu said.

The AELTC maintained that the system was working optimally and that ELC remains considerably more accurate than the line judges it replaced. Wimbledon employs Hawk-Eye, one of numerous ELC providerswhich uses a system that incorporates 10 cameras placed around the court, and which track the bounce of the ball. Hawk-Eye states that its margin of error is 2.2mm. Wimbledon had previously used ELC only as a safety net, allowing players to challenge calls conducted by line judges.

“It’s funny, because when we did have linesmen, we were constantly asked why we didn’t have electronic line-calling because it’s more accurate,” Debbie Jevans, the chair of the AELTC, told the BBC.

Emma Raducanu has not been impressed by ELC at Wimbledon. Photograph: Dave Shopland/Shutterstock

Then came a disastrous series of events on Centre Court. As Anastasia Pavlyuchenkova held game point on her serve at 4-4 in the first set against Sonay Kartal on Sunday, a backhand from Kartal clearly flew long but it was not called out. After a lengthy delay, it emerged that some of the ELC cameras had not been functional on Pavlyuchenkova’s side of the court for some time during the game. The umpire Nico Helwerth opted to replay the point. Around 10 minutes later, after losing that service game, Pavyluchenkova faced a set point on Kartal’s serve.

In the end, the AELTC was fortunate with the outcome. Pavlyuchenkova, who told Helwerth the tournament had “stolen” the game from her, recovered to win both the set and the match, limiting the significance of the error. The AELTC announced in a statement on Sunday night that the ELC had been accidentally deactivated on Pavlyuchenkova’s side of the court by one of the operators running the system.

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Bright on Monday morning, the Wimbledon chief executive, Sally Bolton, fielded a contentious scheduled meeting with the media, which was almost entirely centred around ELC. Bolton asserted repeatedly that the mistake was purely down to human error, that the protocols had been changed to prevent a similar issue and that ELC has otherwise been working accurately during the tournament. At the very least, the situation with Pavlyuchenkova also underlined the importance of having contingency plans for when technology fails, including the possibility of umpires using video replay.

Since the implementation of ELC, player reaction has largely been positive as it was rolled out on hard courts, with players recognising the greater accuracy provided by the system compared to human errors. However, after numerous dramatic moments during the clay-court season, as some players were frustrated with the differences between the ball marks and the ELC’s judgments, the first week of ELC at Wimbledon has been a difficult one. It is clear that faith in its implementation on the surface has diminished and both privately and publicly, players and coaches have expressed scepticism about its accuracy. As the tournament moves into the latter stages, it remains to be seen if that faith will be restored.



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