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How Decentralized AI is Unlocking Value in Cardiac DiagnosticsMarch 27, 2026 9:30 AM
PR Newswire (US)

ISSUED ON BEHALF OF VENTRIPOINT DIAGNOSTICS LTD.VANCOUVER,BC, March 27, 2026 /PRNewswire/ -- USANewsGroup.com News Commentary – Heart disease is a quiet crisis that is draining healthcare resources worldwide, currently costing the European Union over €282 billion annually while tragically claiming 1.7 million lives a year[1]. This immense structural pressure is acting as a catalyst for smart money, with institutional capital rapidly accumulating positions in scalable, AI-enabled diagnostic platforms. In fact, peer-reviewed data now confirms that AI-driven healthcare startups command the largest share of venture funding in the entire biopharmaceutical sector[2]. At the center of this pivotal transition are five companies building the infrastructure for the next cycle of predictive cardiology: VentriPoint Diagnostics (TSXV: VPT) (OTCPK: VPTDF), HeartBeam (NASDAQ: BEAT), Heartflow (NASDAQ: HTFL), Hyperfine (NASDAQ: HYPR), and GE Healthcare Technologies (NASDAQ: GEHC).

This momentum is not just financial; it is heavily backed by the highest levels of medical regulation. The FDA's authorized registry of AI medical devices has just surpassed 1,200 approved products, with cardiovascular applications emerging as the second largest category overall[3]. This robust regulatory tailwind perfectly aligns with a severe clinical urgency. According to the landmark JACC Cardiovascular Statistics 2026 report, nearly half of all American adults now meet the criteria for hypertension. Because broader treatment and control rates have remained stagnant for over a decade, the market is making it clear that scalable, decentralized AI imaging solutions are the ultimate value drivers for this next healthcare cycle[4].VentriPoint Diagnostics (TSXV: VPT) (OTCPK: VPTDF) is expanding into remote healthcare after announcing a partnership with First Light Health, an Indigenous-owned medical services company based in Vancouver, to deliver AI-powered cardiac diagnostics to Indigenous and remote communities across Canada.Together, the two companies are developing a hub-and-spoke care model built around VentriPoint's VMS+™ system. Local providers in remote areas will capture ultrasound scans on-site and be supported by specialists at a central hub who are able to digitally access images and assist with interpretation. That gives patients in British Columbia, Yukon, Alberta, Manitoba, and New Brunswick access to advanced cardiac imaging without travelling hundreds of kilometres, at lower cost and with faster turnaround than traditional referral pathways. Following validation of the model, Ventripoint plans to scale it beyond Canada into underserved communities globally.VentriPoint's VMS+™ system converts standard 2D echocardiograms into detailed 3D volumetric images. The company says its accuracy is comparable to cardiac MRI, but at a fraction of the cost and without the infrastructure those machines require. For communities where heart disease rates are high and specialist access is limited, the difference between early diagnosis and late diagnosis can be the difference between treatment and tragedy."Cardiovascular disease doesn't respect geography, but too often, access to cardiac care does," said Hugh MacNaught, CEO of VentriPoint Diagnostics. "Our work with First Light Health and other First Nations partners such as the Nisga_'a Valley Health Authority demonstrates the need for a made-in-Canada innovation that can close that gap. We see the potential for this solution to be widely deployed, from the Arctic to the Amazon. This is what scalable, equitable heart care looks like."First Light Health brings cultural safety expertise and established relationships within First Nations communities, which matters when deploying health technology in populations that have historically been underserved by the broader system.The partnership builds on recent commercial traction. VentriPoint signed a commercial agreement with LG Consulting Solutions to support VMS+™ deployment across Northern California, targeting cardiac centres in the Sacramento and San Francisco regions. Before that, the company had already partnered with the Nisga_'a Valley Health Authority to pilot a similar model in northern BC.VentriPoint is a Toronto-based medtech company with regulatory approvals in the United States, Canada, and Europe. Its VMS+™ platform works with ultrasound equipment from any vendor and is built on over a decade of Knowledge Based Reconstruction technology development. The goal is simple: put MRI-grade cardiac diagnostics within reach of any clinic or community that needs them.CONTINUED… Read this and more news for VentriPoint Diagnostics at: https://usanewsgroup.com/2025/11/21/the-mri-grade-disruption-hiding-in-plain-sight-why-the-smart-money-is-watching-ventripointIn other industry developments and happenings in the market include:HeartBeam (NASDAQ: BEAT) recently announced a strategic AI collaboration with the Icahn School of Medicine at Mount Sinai to jointly develop and validate next-generation AI-ECG algorithms using HeartBeam's patented 3D ECG platform, which is the only system capable of collecting synthesized 12-lead ECG data from patients in the home setting continuously over time. The partnership combines HeartBeam's longitudinal real-world ECG datasets with Mount Sinai's clinically annotated 12-lead data to accelerate training of personalized cardiac AI models for applications including heart attack risk assessment."We believe expanding access to 12-lead ECG data assessment beyond the clinic is one of the biggest opportunities," said Robert Eno, CEO of HeartBeam. "By pairing our ability to gather high-fidelity real-world ECG data with Mount Sinai's extensive clinical data resources and AI expertise, we are creating a differentiated cardiac intelligence engine that can scale beyond traditional care settings and broaden the reach of predictive cardiology, ultimately expanding our clinical and commercial opportunity."HeartBeam's 3D ECG technology received FDA clearance for arrhythmia assessment in December 2024 and for 12-lead ECG synthesis in December 2025, providing a regulatory foundation for the expanded AI applications this collaboration targets. The resulting data engine is expected to support entry into new clinical indications and reimbursement pathways over time.Heartflow (NASDAQ: HTFL) announced new clinical evidence and a landmark registry launch at the American College of Cardiology Annual Scientific Session, with data from a 15,000-patient registry showing that high plaque volume independently predicts a fourfold increase in major adverse cardiovascular events regardless of conventional risk factors or stenosis severity. Simultaneously, Heartflow enrolled the first patient in the NAVIGATE-PCI Registry, a 5,000-patient study assessing the real-world impact of AI-guided CT-based pre-procedural planning on clinical strategy and physician confidence in the catheterization lab."These milestones reflect tremendous progress toward Heartflow's goal of transforming coronary artery disease from the world's leading cause of death into a condition that can be detected early, diagnosed accurately, and managed for life," said Campbell Rogers, M.D., F.A.C.C., Chief Medical Officer at Heartflow. "The Heartflow Plaque Analysis data presented at ACC and the launch of the NAVIGATE-PCI Registry represent important steps in building the rigorous real-world evidence needed to support AI-driven decision-making across the full continuum of cardiovascular care."Heartflow has now been adopted by more than 1,400 institutions globally and its technology is backed by over 600 peer-reviewed publications covering more than 500,000 patients. Commercial availability of the Heartflow PCI Navigator is expected in Q2 2026, positioning the company to expand its platform from risk stratification into guided intervention planning.Hyperfine (NASDAQ: HYPR) published breakthrough stroke detection data for its Swoop portable MRI system in the journal Stroke: Vascular and Interventional Neurology, with the next-generation scanner's advanced multi-directional DWI sequence achieving 100% sensitivity and 100% specificity for clinically relevant lesions greater than 1.0 mL, detecting strokes as small as 2.8 mm while cutting scan time by approximately 30%. The prospective multi-center study across Massachusetts General Hospital, Buffalo General Medical Center, and Yale New Haven Hospital represents the largest dataset to date evaluating portable MRI for stroke detection."Stroke detection represents a critical driver of the Swoop system's expansion into emergency departments," said Maria Sainz, President and CEO of Hyperfine. "The results from our next-generation Swoop system, combined with our new, advanced multi-direction DWI sequence that was recently cleared by the FDA, are truly remarkable. This data gives us even greater confidence that the Swoop system can reliably detect clinically relevant strokes, streamline workflows, and further strengthen the value of integrating portable MRI into stroke diagnosis and care."With FDA clearance for its multi-directional DWI sequence now secured and real-world performance validated across multiple clinical sites, Hyperfine is positioned to accelerate emergency department adoption of the Swoop platform. The system's portability and speed open new access pathways for stroke diagnosis in settings where conventional MRI is not clinically practical.GE Healthcare Technologies (NASDAQ: GEHC) announced its lead industrial role in COMPASS, a five-year, €50.5 million consortium backed by the European Union's Innovative Health Initiative and more than sixty partners focused on advancing early detection of cardiovascular toxicity in cancer patients across Europe. The program will leverage AI, advanced imaging, novel biomarkers, and integrated care pathways to address cardiotoxicity, which accounts for up to 10% of mortality in cancer survivors."This initiative is well positioned to enable patient-centered cancer care that takes cardiotoxicity risk into account, supports the early detection of cardiotoxic side-effects, and promotes long-term heart health for oncology patients," said Eigil Samset, General Manager, Cardiology Solutions at GE Healthcare and COMPASS Industry Lead. "By developing an AI-powered, integrated care pathway that connects oncologists and cardiologists in clinical practice, this collaboration has the potential to further improve cancer survival by tackling cardiovascular-related morbidity."The COMPASS grant agreement was signed on March 25, 2026 and runs for five years, with GE Healthcare positioned to advance its AI and imaging capabilities within the largest public-private healthcare partnership under the IHI framework. The initiative supports GE Healthcare's broader cardiology solutions strategy as part of its $20.6 billion global healthcare platform.Further Reading: https://usanewsgroup.com/2025/11/21/the-mri-grade-disruption-hiding-in-plain-sight-why-the-smart-money-is-watching-ventripointCONTACT:USA NEWS GROUPinfo @acblanke1DISCLAIMER: Nothing in this publication should be considered as personalized financial advice. We are not licensed under securities laws to address your particular financial situation. No communication by our employees to you should be deemed as personalized financial advice. Please consult a licensed financial advisor before making any investment decision. This is a paid advertisement and is neither an offer nor recommendation to buy or sell any security. We hold no investment licenses and are thus neither licensed nor qualified to provide investment advice. The content in this report or email is not provided to any individual with a view toward their individual circumstances. USA News Group is a wholly-owned subsidiary of Market IQ Media Group, Inc. (MIQ). This article is being distributed for Baystreet.ca media Corp, who has been paid a fee for an advertising campaign. MIQ has not been paid a fee for Ventripoint Diagnostics Ltd. advertising or digital media, but the owner/operators of MIQ also co-owns Baystreet.ca Media Corp. (BAY) There may also be 3rd parties who may have shares of Ventripoint Diagnostics Ltd. and may liquidate their shares which could have a negative effect on the price of the stock. This compensation constitutes a conflict of interest as to our ability to remain objective in our communication regarding the profiled company. Because of this conflict, individuals are strongly encouraged to not use this publication as the basis for any investment decision. The owner/operator of MIQ/BAY own shares of Ventripoint Diagnostics Ltd and reserve the right to buy and sell, and will buy and sell shares of Ventripoint Diagnostics Ltd. at any time without any further notice commencing immediately and ongoing. We also expect further compensation as an ongoing digital media effort to increase visibility for the company, no further notice will be given, but let this disclaimer serve as notice that all material, including this article, which is disseminated by MIQ on behalf of BAY has been approved by Ventripoint Diagnostics Ltd.; this is a paid advertisement, we currently own shares of Ventripoint Diagnostics Ltd. and will buy and sell shares of the company in the open market, or through private placements, and/or other investment vehicles. While all information is believed to be reliable, it is not guaranteed by us to be accurate. Individuals should assume that all information contained in our newsletter is not trustworthy unless verified by their own independent research. Also, because events and circumstances frequently do not occur as expected, there will likely be differences between the any predictions and actual results. Always consult a licensed investment professional before making any investment decision. Be extremely careful, investing in securities carries a high degree of risk; you may likely lose some or all of the investment.SOURCES:https://www.oecd.org/en/publications/the-state-of-cardiovascular-health-in-the-european-union_ea7a15f4-en/full-report/the-burden-of-cardiovascular-disease_e28210c3.html
https://www.jmir.org/2026/1/e84968
https://www.fda.gov/medical-devices/software-medical-device-samd/artificial-intelligence-enabled-medical-devices
https://www.jacc.org/doi/10.1016/j.jacc.2025.12.027Logo - https://mma.prnewswire.com/media/2838876/5886720/USA_News_Group_Logo.jpg

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Original: How Decentralized AI is Unlocking Value in Cardiac Diagnostics

HeartBeam and Mount Sinai Announce Strategic AI Collaboration to Bring Clinical-Grade Heart Monitoring into the Home
Accelerates development of personalized cardiac AI on the HeartBeam platform for wellness and clinical applications, including assessing heart attack risk
Combines Mount Sinai’s world-class AI and clinical expertise with HeartBeam’s groundbreaking 3D ECG signal collection technology
HeartBeam is the only platform capable of collecting 12-lead ECG data from patients anytime, anywhere, over time – extending access beyond traditional clinical settings
Positions HeartBeam to expand from symptom-based cardiac rhythm monitoring into AI-enabled disease assessment and management
SANTA CLARA, Calif.--(BUSINESS WIRE)-- HeartBeam, Inc. (NASDAQ: BEAT), a medical technology company focused on transforming cardiac care by providing powerful cardiac insights, today announced a strategic collaboration with the Icahn School of Medicine at Mount Sinai in New York to accelerate the joint development and validation of next-generation AI-ECG algorithms. The collaboration will leverage HeartBeam’s patented ECG platform, which captures the heart’s electrical activity from 3 non-coplanar dimensions. The partnership marks a significant milestone in the Company’s long-term strategy to build an ecosystem around its platform and strengthen its leadership in AI-enabled cardiac monitoring.

A core value driver of the collaboration is HeartBeam’s differentiated ability to generate longitudinal, high-fidelity synthesized 12-lead ECG datasets from patients in the home setting—data that has historically been inaccessible to AI development. This creates a foundation for developing increasingly personalized algorithms earlier in the care journey and enabling 12-lead ECG assessments in real-world settings, supporting both wellness use cases and clinically relevant assessments, such as heart attack risk.

The combination of HeartBeam’s continuously expanding dataset and Mount Sinai’s clinically annotated 12-lead ECG data can accelerate the training and validation of various AI models. Over time, this collaboration will result in a data engine that is expected to support the development of increasingly personalized algorithms—positioning HeartBeam to expand into new clinical indications and reimbursement pathways.

“We believe expanding access to 12-lead ECG data assessment beyond the clinic is one of the biggest opportunities,” said Robert Eno, Chief Executive Officer of HeartBeam. “By pairing our ability to gather high-fidelity real-world ECG data with Mount Sinai’s extensive clinical data resources and AI expertise, we are creating a differentiated cardiac intelligence engine that can scale beyond traditional care settings and broaden the reach of predictive cardiology, ultimately expanding our clinical and commercial opportunity.”

Under the collaboration, HeartBeam’s in-house AI team led by Lance Myers, PhD, a leading authority on AI applications in biosensor technologies, will work closely with Mount Sinai researchers to develop, train and validate a suite of advanced AI-ECG algorithms intended for deployment onto the HeartBeam platform. Joshua Lampert, MD, FACC, a pioneer in AI-ECG and cardiovascular deep learning research and clinician recognized for his excellence in patient care, Vivek Reddy, MD, an internationally renowned electrophysiologist and innovator, and Girish N. Nadkarni, MD, MPH, the Chief AI Officer of the Mount Sinai Health System and Chair of the Windreich Department of Artificial Intelligence and Human Health at the Icahn School of Medicine at Mount Sinai, will help guide the scientific and clinical development of the partnership.

“While AI-ECG has rapidly progressed as a field over recent years, there is room for improvement in the portability and scalability of such algorithms beyond acquisition devices that require complex multi-electrode systems. Additionally, current approaches struggle to leverage deep learning inference opportunities outside of traditional health care settings, which is where dynamic changes to cardiovascular health first start before patients present for care. The collaboration addresses these vital needs. By combining deep learning tools with the ability to record full 3-dimensional cardiac electrical activity without cables, we can provide clinically meaningful and operationally pragmatic models at scale regardless of environment,” said Dr. Lampert, Cardiac Electrophysiologist, Medical Director of Machine Learning for Mount Sinai Fuster Heart Hospital and Director of Cardiovascular Artificial Intelligence for the Windreich Department of Artificial Intelligence and Human Health at Mount Sinai.

Pairing HeartBeam’s innovative hardware and approach to cardiac waveform engineering with Mount Sinai’s advanced AI and clinical expertise creates a powerful foundation for developing tools that dynamically meet modern patient and clinician needs wherever they are.

“Heart disease doesn’t only show up during a brief visit to the clinic. This collaboration gives us an opportunity to bring powerful clinical-grade heart monitoring into patients’ daily lives,” said Dr. Nadkarni. “By combining advanced AI with HeartBeam’s ability to capture full 12-lead ECG signals from home over time, we can study the heart in ways that simply haven’t been possible before—helping clinicians detect risk earlier and guide care more precisely.”

“This collaboration addresses an important need by leveraging deep learning and 3-dimensional waveform data for scalable diagnostic and predictive purposes, allowing insights beyond even expert human ability,” added Dr. Reddy, who serves as the Director of Cardiac Arrhythmia Services for Mount Sinai Health System.

Together, the two organizations aim to accelerate the development of high-value algorithms that can be deployed broadly across HeartBeam’s platform. These AI models may include patient-relevant wellness insights, condition-focused assessments, and applications for chronic condition management. By enabling AI models to operate on longitudinal, real-world synthesized 12-lead ECG data rather than isolated clinical snapshots, the collaboration has the potential to significantly expand the addressable market for AI-driven cardiac monitoring. The collaboration could unlock new opportunities in preventive cardiology, chronic disease management, and remote patient monitoring—further reinforcing HeartBeam’s position as a leader in cardiac intelligence platforms.

About the Mount Sinai Health System

Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with 48,000 employees working across seven hospitals, more than 400 outpatient practices, more than 600 research and clinical labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time—discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it.

Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients’ medical and emotional needs at the center of all treatment. The Health System includes approximately 9,000 primary and specialty care physicians and 10 free-standing joint-venture centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida. Hospitals within the System are consistently ranked by Newsweek’s® “The World’s Best Smart Hospitals, Best in State Hospitals, World Best Hospitals and Best Specialty Hospitals” and by U.S. News & World Report's® “Best Hospitals” and “Best Children’s Hospitals.” The Mount Sinai Hospital is on the U.S. News & World Report® “Best Hospitals” Honor Roll for 2025-2026.

For more information, visit https://www.mountsinai.org/ or find Mount Sinai on Facebook, Instagram, LinkedIn, X, and YouTube.

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