Our research portfolio showcases cutting-edge AI models, rigorous safety frameworks, impactful clinical validations, and breakthrough digital twin technology—delivering measurable improvements in chronic disease management and patient outcomes.
Our proprietary Cura 2.1 model leverages an advanced 2.7T+ parameter constellation framework, uniquely designed for multimodal healthcare data processing. By integrating specialized support models, Cura 2.1 enhances diagnostic accuracy, safety, and clinical relevance across diverse healthcare settings. This model powers our AI agents, enabling robust, personalized insights for patients and clinicians alike.
Our framework ensures every AI-driven recommendation is reliable, transparent, and clinically grounded. We recently published a pioneering article demonstrating a novel approach to robust hallucination control in generative AI applied to medical settings.
Read full article
This next frontier in personalized cardiac care is a personalized cardiac digital twin for interventional planning and comprehensive management of chronic heart failure patients. By integrating multimodal predictive analytics and modeling of comorbidities, this cutting-edge technology empowers clinicians with precise, patient-specific simulations to optimize intervention strategies and improve outcomes.
This establishes an entirely new computational and scientific paradigm, a Mechanistic Digital Twin (MD-Twin) platform that couples hybrid physics-informed models with advanced machine learning to recreate and simulate individualized cardiac dynamics.
Our research efforts pave the way for scalable, safe, and impactful AI healthcare solutions. We welcome collaborations with clinical researchers, healthcare providers, and industry leaders to co-develop and validate next-generation AI tools that improve patient lives worldwide.
Demostrating our commitment to evidence-based AI, we are conducting a multicenter, randomized, controlled, single-blinded trial to evaluate the real-world impact of Chatdok-Heart in chronic cardiovascular care.
The primary objective is to determine the effectiveness of Chatdok-Heart’s AI-assisted platform in reducing cardiovascular events including myocardial infarction, stroke, and heart failure hospitalizations,
and improving key risk factors such as blood pressure and cholesterol. This study represents a critical step in validating AI-driven digital therapeutics for proactive, evidence-based heart failure management.
2025 - All Rights Reserved.