Exposure to light at night may be linked to potentially harmful changes in the heart’s structure and performance, according to a study involving more than 11,000 people. The findings were published in the European Heart Journal on September 9. The research was led by Professor Lu Qi of Tulane University, New Orleans, USA. He said: [...]In a two-year head-to-head trial, researchers found that two very different dietary approaches produced similar changes in body weight. A Mediterranean-style eating plan adapted to Southern food preferences helped participants lose about as much weight as WeightWatchers over two years, but it produced substantially greater improvements in reported diet quality. The comparison was part of [...]A major trial found that implantable cardioverter-defibrillators may benefit some patients younger than 70 with mild-to-moderate heart dysfunction and cardiac scarring. A more than decade-long randomized trial suggests that implantable cardioverter-defibrillators may benefit some patients who have heart scarring and only mild-to-moderate loss of heart function, a group that currently falls outside standard treatment guidelines. [...]
Blood pressure drugs can prevent heart attacks and strokes, but their protection may fade when too many doses are missed. New research presented at ESC Congress 2026 provides some of the clearest evidence yet that consistently taking antihypertensive medication is essential to receiving its cardiovascular benefits. The analysis used randomized trial data to separate the [...]A compound produced in the body after eating pomegranates improved heart function by up to 80% in experimental models of a type of heart failure with limited treatment options. For people with heart failure with preserved ejection fraction, the heart can still pump blood but struggles to relax and refill properly between beats. In experimental [...]Cardiovascular health in midlife may influence mental function later in life. A person’s activity level and blood sugar in middle age may help shape how quickly thinking skills decline decades later. Research from UT Health San Antonio, the academic health center of The University of Texas at San Antonio, found that physical activity and better [...]By studying a gene associated with congenital heart defects, scientists uncovered a mechanism showing how small reductions in protein levels can disrupt DNA’s three-dimensional structure and lead to disease. A baby can inherit one healthy copy of TBX5 and still develop serious heart defects if the other copy does not work. That genetic imbalance is [...]In a six-month study, people with obesity who ate an avocado each day lowered their blood levels of “bad” cholesterol particles. Adding one avocado to a person’s daily diet may modestly improve a blood marker linked to heart disease. In a study of adults with obesity, researchers at the Penn State Department of Nutritional Sciences [...]A gum disease bacterium may contribute to aortic valve calcification through inflammation, according to preliminary human tissue and mouse research. A bacterium best known for damaging gums may also be involved in the hardening of the heart’s aortic valve. Preliminary research presented at the American Heart Association’s Basic Cardiovascular Sciences Scientific Sessions 2026 points to [...]Swimming matched running for fitness gains but delivered greater heart growth and more favorable molecular changes, making it potentially more beneficial for cardiovascular health. For decades, swimming and running have been considered two of the best forms of aerobic exercise for cardiovascular health. But new research suggests they may not strengthen the heart in exactly [...]In a landmark achievement for cardiovascular care, one hundred hospitals across the United States have been awarded the prestigious American College of Cardiology (ACC) HeartCARE Center designation. This recognition represents the pinnacle of commitment to delivering superior, patient-centered cardiovascular treatment. Introduced in 2018, the HeartCARE Center designation is the ACC’s most esteemed accolade for hospitals and health systems, acknowledging institutions that exhibit sustained clinical excellence through comprehensive accreditation, rigorous performance monitoring via data analytics, and ongoing quality improvement processes.
This milestone reflects the ACC’s unwavering dedication to advancing the standards by which cardiovascular services are delivered nationwide. The hospitals recognized demonstrate adherence to evidence-based clinical protocols, participation in continuous quality enhancement initiatives, and the achievement of measurable patient outcomes that transcend regional disparities. Steven B. Deitelzweig, MD, MMM, FACC, chair of the ACC Accreditation Oversight Committee, emphasized the significance of this accomplishment, highlighting that these institutions collectively enhance cardiovascular care quality, ensuring access for patients wherever they reside.
The HeartCARE Center designation is conferred upon organizations that meet stringent criteria encompassing participation in a minimum of two ACC Accreditation Services programs and engagement with National Cardiovascular Data Registry (NCDR) registries. These registries serve as pivotal platforms for tracking and benchmarking clinical outcomes, enabling hospitals to pinpoint and bridge gaps in guideline-based care implementation. Furthermore, targeted quality improvement campaigns such as the Patient Navigator Program: Focus MI support institutions in closing those gaps through structured, scientifically grounded interventions.
Beyond accreditation and registry participation, the HeartCARE Center program integrates robust continuous performance measurement mechanisms. This integration fosters a culture of accountability and data-driven decision-making within hospitals, enabling them to consistently execute guideline-directed care pathways. The approach is designed not only to improve clinical outcomes for cardiovascular patients but also to enhance process efficiency and interprofessional collaboration across care teams, thereby standardizing high-quality care delivery throughout participating institutions.
As an integral component of the ACC’s broader Quality Improvement for Institutions initiative, the HeartCARE Center designation symbolizes organizational leadership in sustainable quality improvement. These hospitals exemplify best practices in process optimization, specialty-specific accreditation, clinical staff development, and active engagement with their surrounding communities. Collectively, these elements work synergistically to establish a new benchmark for coordinated, patient-centered cardiovascular care, expanding patient access to state-of-the-art heart health interventions locally.
By earning the HeartCARE Center designation, hospitals demonstrate not just isolated achievements but a persistent commitment to maintaining and advancing quality care across the entire spectrum of cardiovascular medicine. Dr. Deitelzweig noted that the rigorous standards required for designation translate into tangible benefits for patients, including improved survival rates, reduced complication incidences, and broader availability of the latest evidence-supported therapies. This systematic elevation of care quality promises to transform cardiovascular outcomes on a national scale.
The ACC’s strategic emphasis on integrating data from accreditation services and NCDR registries enables participating institutions to continuously refine clinical protocols in response to emerging evidence and outcome trends. This data-centric framework underpins the excellence recognized by the HeartCARE Center program, equipping hospitals with actionable insights for enhancing care pathways, reducing practice variability, and advancing the science of cardiovascular treatment delivery.
Technological advancements and sophisticated analytics play central roles in this process improvement paradigm. The ability to harness large-scale clinical data sets from the NCDR registries facilitates risk-adjusted benchmarking, enabling institutions to evaluate performance relative to national standards. This capability supports precision targeting of quality improvement efforts—ensuring resources are effectively allocated to areas with the greatest potential to impact patient care outcomes.
Community outreach and patient engagement initiatives are further hallmarks of HeartCARE Centers. These institutions not only excel internally but also proactively extend their knowledge and services beyond hospital walls. By fostering partnerships with local health organizations and enhancing public health education, HeartCARE Centers contribute to the prevention and early detection of cardiovascular disease, thereby addressing systemic health disparities and promoting holistic cardiovascular wellness.
Moreover, the multidisciplinary nature of cardiovascular care teams within HeartCARE Centers underscores the program’s emphasis on comprehensive treatment. Cardiologists, cardiac surgeons, nurses, rehabilitation specialists, and other healthcare professionals collaborate seamlessly to deliver continuity of care that is responsive to individual patient needs. This integrated care model has been shown to enhance adherence to treatment plans, improve functional recovery, and reduce hospital readmission rates.
Sustained professional education and credentialing efforts complement these clinical advancements, ensuring that healthcare providers within HeartCARE Centers remain at the forefront of cardiovascular medicine. The ACC’s broader infrastructure supports these goals through its renowned JACC journals, certification programs, and educational symposia, cultivating a workforce primed to apply innovative therapies grounded in rigorous scientific evidence.
Collectively, the achievement of 100 HeartCARE Center designations signals a transformative moment for cardiovascular care delivery in the United States. The program’s emphasis on data-driven quality improvement, comprehensive accreditation, and community-centered care sets a new standard that other healthcare disciplines may emulate. As more hospitals join the ranks of HeartCARE Centers, patients nationwide stand to benefit from enhanced outcomes, greater consistency in treatment, and access to cutting-edge, guideline-based cardiovascular therapies.
For those interested in reviewing the complete listing of hospitals designated as ACC HeartCARE Centers, further information is accessible through the ACC’s official platform. This transparency aids healthcare leaders, clinicians, and patients alike in identifying centers that exemplify clinical excellence and serves to incentivize continued quality advancements in cardiovascular medicine.
The American College of Cardiology remains steadfast in its mission to transform cardiovascular care globally. With a community exceeding 60,000 cardiovascular professionals across more than 140 countries, the ACC drives innovation, education, and advocacy, dedicated to optimizing heart health outcomes through scientific rigor and clinical leadership. The HeartCARE Center designation exemplifies this mission, heralding a future in which standardized, high-quality cardiovascular care is universally accessible.
News Publication Date: Not specified in the source content.
Web References: https://cvquality.acc.org/accreditation/heartcare-center-recognition-program/participating-facilities
Keywords: Cardiovascular care, HeartCARE Center designation, American College of Cardiology, ACC Accreditation, Quality Improvement, NCDR registries, Patient-centered care, Evidence-based treatment, Cardiovascular outcomes, Clinical excellence, Data-driven healthcare, Cardiology hospitals
In a groundbreaking development addressing the burgeoning concern of privacy in modern medical technology, researchers at the University of Kansas have unveiled a transformative artificial intelligence (AI) model designed specifically to safeguard sensitive biometric data embedded within electrocardiograms (ECGs). This innovation is poised to reshape how medical institutions share and analyze vital cardiovascular data without compromising patient confidentiality. Electrocardiograms have long been renowned for their role in capturing the heart’s electrical activity to diagnose and monitor cardiac health; however, as AI integration deepens, these signals inadvertently reveal more than just clinical information — exposing personal attributes such as sex, age, race, and even uniquely identifiable biometric markers.
The research team at Kansas, led by doctoral candidate Fairuz Shadmani Shishir in collaboration with the KU Medical Center, has pioneered the privacy-preserving variational autoencoder (PP-VAE). This novel AI architecture is specially engineered to retain the clinical utility of ECG data while systematically obfuscating sensitive biometric features that might otherwise be inferred through advanced AI analysis. The dual objective of PP-VAE is both technically sophisticated and ethically imperative, ensuring that predictive diagnostic accuracy remains uncompromised while minimizing the risk of privacy breaches inherent in sharing raw biomedical signals.
Electrocardiograms, traditionally viewed as a straightforward diagnostic tool, have grown in complexity with modern AI techniques that can extrapolate a multiplicity of patient traits beyond the cardiovascular parameters they were designed to measure. Shishir notes that these advanced systems can uncover “soft biometrics” such as demographic information, which raises pressing data governance and patient privacy challenges. By developing PP-VAE, the researchers aim to reimagine ECG data processing whereby sensitive attributes are masked without degrading the signal quality necessary for important medical prognoses, such as identifying patients at risk of left ventricular ejection fraction (LVEF) abnormalities, a critical indicator linked to heart failure and mortality risk.
The technical underpinning of PP-VAE involves training independent convolutional neural networks to disentangle and suppress identifiable biometric markers while preserving clinically relevant features within the ECG signal. This balancing act required careful engineering to ensure that the encoded ECG data remained diagnostically rich, capable of supporting predictions related to conditions such as left ventricular hypertrophy and forecasting five-year mortality risk. The research showcased that their method consistently outperformed or competed with other state-of-the-art AI models, marking a significant stride in machine learning’s ability to harmonize privacy with clinical efficacy.
Importance of such privacy-preserving strategies becomes particularly clear against the backdrop of the healthcare industry’s increasing reliance on data sharing for collaborative research, AI model development, and multi-institutional patient care coordination. The KU team articulates that unrestricted data sharing without privacy controls introduces tangible risk vectors for patient re-identification and misuse. PP-VAE proposes a scalable approach toward enabling secure exchange of ECG data, thus fostering innovation and improving medical outcomes while staunchly protecting individual privacy rights.
This research also touches on the profound issue of bias within AI-driven medical diagnostics, which has historically contributed to disparities in healthcare delivery among marginalized populations. The team consciously incorporated balanced datasets reflective of gender and racial diversity in their model training to mitigate bias and improve generalized performance across varied demographic groups. While initial validations were primarily conducted using data from KU Medical Center and publicly available datasets, future work is projected to expand this cross-regional training, enhancing the robustness and impartiality of the model when applied globally.
Another compelling facet of this breakthrough is the planned public release of the PP-VAE model, reflecting the researchers’ commitment to transparency, collaboration, and democratization of AI tools in medicine. By allowing institutions worldwide to access and further refine the model with local datasets, the innovation promises to catalyze a new era of secure, privacy-conscious healthcare analytics. Adoption of PP-VAE could alleviate prevalent trust issues among patients concerned about the confidentiality of their biometric health information—a critical barrier to broader acceptance of AI-driven healthcare technologies.
Furthermore, the researchers discuss the broader implications for data-driven diagnosis, illustrating how balancing the protection of sensitive attributes with clinical utility could become a standard principle in biomedical AI applications beyond cardiology. This approach offers a blueprint for addressing ethical and privacy challenges that increasingly pervade the intersection of health data science and artificial intelligence.
The University of Kansas team’s work is also distinguished by its multidisciplinary nature, featuring collaboration between electrical engineering, computer science, and cardiovascular medicine experts. Such an integrated approach enabled the synthesis of advanced machine learning expertise with intimate clinical insight, culminating in a pragmatic solution tailored precisely to real-world healthcare needs.
This pioneering study was recently published in Scientific Reports, showcasing detailed methodology, experimental evaluations, and comparative performance analyses that underscore the efficacy and potential transformative impact of PP-VAE. Supported by the American Heart Association, this research is an exemplar of innovative technological stewardship addressing one of the most pressing challenges in digital health.
As AI continues to proliferate across medical diagnostics, models like PP-VAE will undeniably play a critical role in shaping ethical frameworks and technological architectures for future patient data management. By protecting sensitive biometric identifiers embedded in ECG data, the model not only preserves patient autonomy but also enhances the potential for AI-driven insights to be safely harnessed for better clinical outcomes worldwide.
The journey ahead involves validating and deploying this technology in diverse healthcare environments globally to ensure scalability, efficacy, and fairness remain intact as data heterogeneity increases. Yet, with the foundational work from the University of Kansas, a robust and privacy-conscious approach to ECG analysis and beyond appears well within reach, heralding a new era of secure AI-driven cardiovascular care.
Subject of Research: Privacy-preserving AI models for electrocardiogram data analysis
Article Title: Safeguarding Patient Privacy in Electrocardiogram Analysis with AI-driven Models
Web References: Scientific Reports Article
Image Credits: Fairuz Shadmani Shishir / University of Kansas
Privacy-preserving AI, Electrocardiogram (ECG), Variational Autoencoder, Convolutional Neural Networks, Biomedical Data Security, Cardiovascular Diagnostics, Left Ventricular Ejection Fraction, Patient Privacy, Machine Learning Bias, Medical Data Sharing, Artificial Intelligence in Healthcare, Clinical Decision Support
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