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Aidoc Pioneers Next-Generation AI with CARE1™ Foundation Model, Revolutionizing CT Imaging Standards

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First application based on CARE1™ has been submitted for FDA review

NEW YORK, Dec. 2, 2024 /PRNewswire/ — Aidoc, the global leader in clinical AI, has developed CARE1™ (Clinical AI Reasoning Engine, Version 1), a groundbreaking clinical-grade foundation model for CT imaging, the first step in a multi-year investment in Aidoc’s Clinical AI Reasoning Engine (CARE™) framework. Trained on millions of exams and leveraging advanced multimodal capabilities, the CARE™ framework was developed to establish a new benchmark for precision and speed in developing clinical AI solutions. This innovation is designed to empower clinicians with unparalleled diagnostic accuracy and efficiency, unlocking AI’s full potential to tackle critical healthcare challenges by minimizing diagnostic delays, optimizing workflows and improving patient outcomes. CARE1™ is the culmination of relentless innovation, a bold vision and a significant investment of resources dedicated to this mission.

“Eighteen months ago, we embarked on an ambitious journey to redefine how clinical AI is developed and, in turn, how it serves healthcare,” said Michael Braginsky, CTO of Aidoc. “By unlocking new possibilities for AI, we aim to support clinicians in tackling complex challenges and help them set a new standard for patient care that the prior AI technologies couldn’t achieve. The CARE™ framework will gradually serve as the backbone of Aidoc’s AI solutions, enabling the development of versatile, high-performance AI capable of detecting a broad spectrum of critical conditions in real-time.”

Potential For Unmatched Accuracy Through Expertise, Scale and Innovation

What sets the CARE™ framework apart from other foundation models is its potential for unprecedented accuracy, with internal validations showing it may surpass the performance of Aidoc’s existing AI algorithms, which have already delivered proven clinical outcomes at scale. This breakthrough stems from a combination of unique factors:

Deep Clinical AI Expertise: With nearly a decade of experience in clinical AI and the largest install base in the industry, Aidoc has unparalleled experience in navigating the complexities of medical imaging. From managing missing or inconsistent data to addressing variability across diverse clinical settings, Aidoc has honed the ability to turn these challenges into opportunities, creating models that are not only accurate but also exceptionally robust.Purpose-Built Infrastructure: Aidoc’s advanced AI infrastructure has been meticulously developed to meet the demanding requirements of clinical-grade AI. Central to this is a robust validation framework, refined over years of building and deploying proven solutions in clinical settings. This framework ensures that every aspect of CARE1’s™ performance is rigorously tested and measured with precision. Aidoc focuses on rigorous internal validation for CARE1™ using a large, diverse dataset that reflects real-world clinical settings, ensuring reliable results. Significant Financial Investment: Delivering a foundation model of CARE1’s™ caliber required substantial investment. Aidoc’s strong financial backing enabled comprehensive data processing, extensive training, and rigorous testing, ensuring the delivery of this groundbreaking innovation at the highest level of quality and reliability.Unrivaled Data Scale: CARE1™ achieved groundbreaking results by training on a scale of data previously unattainable, spanning millions of cases across various conditions and anatomies. For the first time, this allowed a model to truly grasp the entire domain rather than focus on specific medical conditions, potentially unlocking unprecedented diagnostic power. Remarkably, this achievement leveraged only a fraction of Aidoc’s comprehensive dataset, underscoring the immense potential for further advancements.

By combining expertise, scale and innovation, CARE1™ is designed to redefine what’s possible in clinical AI and is well positioned to set a new benchmark for accuracy, versatility and reliability in healthcare diagnostics.

FDA Submission: A First Step Toward Transformative AI

As part of Aidoc’s commitment to robust and regulated AI, the company has already submitted its first real-world derivative of the CARE1™ Foundation Model for FDA 510(k) review. This initial application leveraged CARE1™ in Aidoc’s retrained rib fractures triage module with the addition of a pre-training layer. This submission reflects Aidoc’s approach to safely and rigorously transitioning to foundation model-based AI solutions in real-world clinical settings.

“We decided to start this shift by transforming the rib fractures triage module to be CARE1™-enabled, allowing us to begin learning how to measure, validate and ultimately bring foundation model-enabled algorithms to production in clinical settings,” added Braginsky. “This marks a pivotal shift in AI development at Aidoc. We’ve fully committed to foundation model technology because it’s clear this approach surpasses anything we’ve seen before. At the same time, we are steadfast in ensuring this transition is done with precision, focusing on safety, rigorous validation and a comprehensive understanding of this groundbreaking model’s behavior to ensure it delivers meaningful clinical impact.”

Shaping the Future of AI-Driven Healthcare

This breakthrough marks a transformative moment for Aidoc and the future of AI in medicine:

For AI Development: CARE™ framework will accelerate the creation of highly accurate models and enable entirely new applications, driving faster deployment to meet evolving healthcare needs.For AI Integration: As CARE™ framework and other foundation models enhance the ability to develop clinically meaningful AI modules, the challenge of their seamless integration into healthcare systems is increasing exponentially. This is especially true as the number of AI modules grows, making it harder to ensure they remain user friendly and harmonized. Aidoc’s aiOS™ platform provides health systems with the robust infrastructure needed to incorporate both Aidoc-developed and third-party AI models into sophisticated clinical workflows while maintaining usability and efficiency.

“The future of clinical AI is being reshaped by foundation models, which are set to revolutionize diagnostic workflows in healthcare. We’re encouraged to see the development of these transformative technologies by various leading players, as it underscores their immense potential,” said Elad Walach, CEO of Aidoc. “Ultimately, the true test of success lies in achieving the required accuracy for production-grade solutions. As we’ve all learned over the past decade of advancing clinical AI, the greatest challenge is delivering meaningful outcomes in real-world clinical settings. With CARE1™, Aidoc is just beginning to explore the immense possibilities that foundation models can unlock. Our mission has always been to empower providers to transform the core of diagnostic work, and CARE1™ is only the tip of the iceberg in an exciting journey toward delivering even greater value across the healthcare ecosystem.”

About Aidoc

Aidoc is a pioneering force in clinical AI. We focus on aiding and empowering healthcare teams to optimize patient treatment, which results in improved economic value and clinical outcomes. Built on Aidoc’s proprietary aiOS™, we analyze and aggregate medical data to enable care teams to operationalize the unexpected and work seamlessly with a continued focus on the patient. Used in more than 1,000 medical centers worldwide, Aidoc has the most FDA clearances (17) in clinical AI and its AI-based solutions cover 75 percent of patient populations, enabling physicians to make informed decisions based on real-time data. Visit Aidoc.com to see how we are connecting all points of care with always on AI.

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SOURCE Aidoc

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Personal Injury Attorney Missy Wigginton Explains Truck Accident Settlement Timelines in HelloNation

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The Article Outlines Key Factors That Affect Settlement Timelines and Explains Why Complex Truck Accident Cases Often Take Longer to Resolve.

MEMPHIS, Tenn., Oct. 19, 2026/PRNewswire/ — The Article Outlines Key Factors That Affect Settlement Timelines and Explains Why Complex Truck Accident Cases Often Take Longer to Resolve.

How long does it take to settle a truck accident case in Memphis, Tennessee? A HelloNation article explores the factors that shape the truck accident claims timeline and why outcomes can vary widely.

The HelloNation article notes that a truck accident settlement in Memphis, TN, can take anywhere from a few months to more than a year, depending on injury severity and case complexity. It explains that while some claims resolve quickly, others require extended review to ensure all damages are properly calculated. The article emphasizes that understanding the full timeline of injury claim settlements helps individuals set realistic expectations.

According to the article, one of the main contributors to delays in personal injury cases in Tennessee is the detailed nature of a commercial vehicle accident investigation. Unlike standard car accidents, truck crashes often involve reviewing driver logs, maintenance records, and vehicle electronic data. The article explains that this level of analysis is necessary to determine fault and establish truck accident liability in Memphis, but it also extends the time needed to reach a resolution.

The article also notes that multiple parties are often involved in trucking accident insurance claims. These may include the truck driver, the trucking company, maintenance providers, and insurance carriers. When responsibility is shared, negotiations become more complex. The article describes how disputes over truck accident liability in Memphis can lead to longer discussions and additional documentation requests, further extending the truck accident claims timeline.

Another key factor discussed is medical treatment. The HelloNation article explains that injured individuals are often advised to wait until they reach maximum medical improvement before finalizing a truck accident settlement in Memphis, TN. This ensures the claim includes both current and future medical needs. The article notes that settling too early can result in compensation that does not fully cover long-term care, underscoring the importance of patience in the injury claim settlement timeline.

The article further explains that insurance companies play a significant role in delays in personal injury cases in Tennessee. In high-value trucking accident insurance claims, insurers typically conduct thorough reviews and may challenge the extent of injuries or damages. This can lead to prolonged negotiations and additional requests for evidence, which can extend the time it takes to settle a case.

Court involvement is another factor that can influence the timeline. The article describes how some cases require litigation when a fair agreement cannot be reached through negotiation. In these situations, court schedules and procedural requirements may add months to the timeline for truck accident claims. While many cases settle before trial, the possibility of litigation remains an important consideration.

Injury severity also directly affects the length of the commercial vehicle accident investigation and settlement process. The article explains that cases involving minor injuries often resolve more quickly, while those involving serious or catastrophic harm take longer to evaluate medical costs, lost income, and long-term care needs. These elements are critical to determining fair compensation in trucking accident insurance claims.

The article concludes that every truck accident settlement in Memphis, TN, follows its own path, shaped by unique circumstances. Factors such as evidence collection, medical recovery, liability disputes, and insurance review all contribute to delays in personal injury cases in Tennessee. By understanding these variables, individuals can better navigate the process and make informed decisions.

How Long Does It Take to Settle a Truck Accident Case in Memphis, TN? features insights from Personal Injury Expert Missy Wigginton, an attorney in Memphis, Tennessee, in HelloNation.

About HelloNation
HelloNation is a premier media platform that connects readers with trusted professionals and businesses across various industries. Through its innovative “edvertising” approach that blends educational content with storytelling, HelloNation delivers expert-driven, good-news articles that inform, inspire, and empower. Covering topics from home improvement and health to business strategy and lifestyle, HelloNation highlights leaders making a meaningful impact in their communities.

www.hellonation.com

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SOURCE HelloNation

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RFA Financial to Release Third Quarter 2026 Results on November 10, 2026

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TORONTO, Oct. 19, 2026 /CNW/ — RFA Financial Inc. (“RFA” or the “Company”) (TSX: RFA) announced that it will release its financial results for the third quarter 2026 on Tuesday, November 10, 2026, after market close on the Toronto Stock Exchange.

A conference call with management will be held on Wednesday, November 11, 2026, at 1:00 p.m. ET. To access the call, please dial 1-437-900-0527 or 1-888-510-2154. Alternatively, the listen-only webcast can be accessed on RFA’s website at rfafinancial.ca/investors/conference-calls/.

A recording of the conference call will be available until Friday, December 11, 2026, by dialing 1-646-517-4150 or 1-888-660-6345 and entering the passcode 77268#. A transcript of the presentation and a replay of the webcast will be accessible on RFA’s website immediately after the call.

About RFA Financial Inc.

RFA is a Canadian financial services platform anchored by a Schedule I bank. RFA offers a diversified suite of financial services to support Canadians at every stage of their financial journey, combined with the stability of a proven real estate platform. RFA common shares trade on the Toronto Stock Exchange under the symbol RFA, while Series E and Series I preferred shares trade under the symbols RFA.PR.E and RFA.PR.I, respectively. The common shares also trade in the United States on the OTCQX Best Market under the symbol RFAFF.

For more information, please visit rfafinancial.ca.

SOURCE RFA Financial Inc.

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Csquare Schedules Third-Quarter 2026 Earnings Release and Conference Call

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DALLAS, Oct. 19, 2026 /PRNewswire/ — Csquare (NYSE: CSQR) today announced that it will release financial results for the third quarter of 2026 after the market closes on Monday, November 9, 2026. The company will host its quarterly conference call on Monday, November 9, 2026, at 5:00PM EDT. The company will discuss third-quarter results for the period ended September 30, 2026.

A live webcast of the call will be available using the following link: https://app.webinar.net/BDWvy4K8QLk. A replay will be available approximately 2 hours after the live call.

This webcast will also be available on our Investor Relations site.

About Csquare

Csquare is a leading North American digital infrastructure platform providing carrier-neutral colocation data centers. The company owns and operates a geographically diverse portfolio of data centers across major metropolitan markets in the United States, Canada and the United Kingdom. Csquare delivers secure, reliable infrastructure solutions to enterprise, network, cloud and technology customers, supporting critical workloads, hybrid cloud environments and AI-enabled applications. Headquartered in Dallas, Csquare is committed to operational excellence and long-term customer partnerships. Learn more at www.csquare.com.

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SOURCE Csquare, Inc.

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