We develop software medical devices, powered by a proprietary platform of retaskable intelligent algorithms.
Our non-invasive technology analyzes video, audio and other data to automatically quantify organ-level, system-level and patient-level function
Our advanced biometrics allow medical professionals to make better, more informed clinical decisions
Our products are regulated as medical devices and are delivered as software as a service
“Artificial intelligence (AI) and machine learning (ML)
technologies have the potential to transform health care by
deriving new and important insights from the vast amount of data
generated during the delivery of health care every day.”
AI/ML-Based Software as a Medical Device (SaMD) Action Plan
We develop software medical devices
We deliver comprehensive biometrics
Our automated biometric analysis technology is at the core of everything we do at Argus Cognitive. Our software automatically analyzes video, audio and other medical data to produce rich biometrics about your patients.
These rich biometrics give you additional insights into your patients, and frees you up to focus on delivering care instead of recording data.
What You See
Your judgment and expertise are at the core of delivering care to your patients. With your skills and Argus' data, we can see the whole picture.
What We See
Our systems automatically turn qualitative data like video, audio, 3D echo data, and more into rich biometrics that inform you and your patients.
We have active product development programs that address a variety of important medical areas. Our first two products entering the FDA approval process are:
1. ReVISION Award-winning biometric solution to detect a range of debilitating cardiac conditions affecting the right ventricle, such as certain types of heart failure, pulmonary hypertension, and more.
Please, feel free to reach out for white papers, publication lists, demos, etc. We love partnerships.
Behavioral Health publications
Computational approaches are emerging as promising, objective methods to capture the complex and granular repertoire of behaviors associated with Autism spectrum disorder (ASD). However, developed for exclusive contexts, most tools are limited to specific environments and modalities and require participants to wear devices or restrict their movement by remaining front-facing to the camera. The work presented here focuses on a model of computer vision and machine learning analyses with the capacity to capture and quantify domains of social, language, and early motor behaviors within administration of the Autism Diagnostic Observation Schedule-Second Edition (ADOS-2).
The effort to improve existing measurement paradigms within the autism spectrum disorder (ASD) & neurodevelopmental disorders (NDD) clinical research communities has included several digital health approaches even prior to COVID. These approaches include telehealth and remote assessments as were widely adopted during COVID, as well as automated video and audio analysis and sought to address several challenges with existing measures including limited applications at extreme ends of standard distribution...
Ongoing strides in robust non-intrusive methods allow for the application of computational behavioral assessments in clinical settings, mitigating tedious manual coding processes. Using machine learning components, automated behavioral assessment aims to facilitate the detailed coding of naturalistic behavior (including prosody, facial landmarks, gaze, and pose estimations)...
The mission of Argus Cognitive is to develop a non-intrusive, fully automated system that increases accessibility, affordability and objectivity of behavioral health care for common mental health and neurological conditions...
Objective behavioral assessment is a mainstay of behavioral sciance tools. Recent advances adapting human-AI interaction technology has promise to streamline analisys of core social-communication behaviors for treatment research...
Kidney transplantation (KTX) markedly improves prognosis in pediatric patients with end-stage kidney failure. Still, these patients have an increased risk of developing cardiovascular disease due to multiple risk factors. Three-dimensional (3D) echocardiography allows detailed assessment of the heart and may unveil distinct functional and morphological changes in this patient population that would be undetectable by conventional methods.
Right ventricular (RV) function has proven to be a prognostic factor in heart failure with reduced and preserved ejection fraction and in pulmonary hypertension. RV function is also a cornerstone in the management of novel clinical issues, such as mechanical circulatory support devices or grown-up congenital heart disease patients...
Three major mechanisms contribute to right ventricular (RV) pump function: (i) shortening of the longitudinal axis with traction of the tricuspid annulus towards the apex; (ii) inward movement of the RV free wall; (iii) bulging of the interventricular septum into the RV and stretching the free wall over the septum...
Three main mechanisms contribute to global right ventricular (RV) function: longitudinal shortening, radial displacement of the RV free wall (bellows effect), and anteroposterior shortening (as a consequence of left ventricular contraction)...
Global right ventricular (RV) function is determined by the interplay of different motion compo- nents related to the myofiber architecture, and the relative importance of these components is still not thoroughly characterized. The aims of this study were to quantify the relative contributions of longitudinal, radial, and anteroposterior motion components...
Quantitative assessment of RV function by two-dimension echocardiography (2DE) has been limited as a consequence of this complexity, whereas newer three dimensional (3D) analysis offers the potential for more comprehensive assessment of the contributors to RV function. The aims of this study were to quantify the longitudinal, radial and anteroposterior components of global RV function using 3D echocardiography in a cohort of healthy children and to examine maturational changes in these parameters.
Despite the significant contribution of circumferential shortening to the global ventricular function, data are scarce concerning its prognostic value on long-term mortality. Accordingly, our study aimed to assess both left (LV) and right ventricular (RV) global longitudinal (GLS) and global circumferential strain (GCS) using three-dimensional echocardiography (3DE) to determine their prognostic importance...
The functional adaptation of the right ventricle (RV) to the different degrees of left ventricular (LV) dysfunction remains to be clarified. We sought to (1) assess the changes in RV contraction pattern associated with the reduction of LV ejection fraction (EF) and (2) analyze whether the assessment of RV longitudinal, radial, and anteroposterior motion components of total RVEF adds prognostic value.
Right ventricular (RV) three-dimensional (3D) strains can be measured using novel 3D RV analytical software (ReVISION). Our objective was to investigate the prognostic value of RV 3D strains.
The PREPARE-MVR study (PRediction of Early PostoperAtive Right vEntricular failure in Mitral Valve Replacement/Repair patients) sought to investigate the alterations of right ventricular (RV) contraction pattern in patients undergoing mitral valve replacement/repair (MVR) and to explore the associations between pre-operative RV mechanics and early post-operative RV dysfunction (RVD)...
Assessment of right ventricular (RV) function using conventional echocardiography might be inadequate as the radial motion of the RV free wall is often neglected. Our aim was to quantify the longitudinal and the radial components of RV function using three-dimensional (3D) echocardiography in heart transplant (HTX) recipients...
Right ventricular (RV) function is an important prognostic indicator. The acute effects of cardiac interventions or cardiac surgery on global and longitudinal RV function are not entirely understood. In this study, acute changes of RV function during mitral valve surgery (MVS),...
Our aim was to assess the regional right ventricular (RV) shape changes in pressure and volume overload conditions and their relations with RV function and mechanics. The end-diastolic and end-systolic RV endocardial surfaces were analyzed with three-dimensional echocardiography (3DE)...
The development of secondary tricuspid regurgitation (TR) is associated with poor outcomes in patients with heart failure and reduced left ventricular (LV) ejection fraction (HFrEF). Data are scarce concerning the right ventricular (RV) morphological and functional remodeling in HFrEF in relation to the severity of TR.
Aim: To compare global and axial right ventricular ejection fraction in ventilated patients for moderate-to-severe acute respiratory distress syndrome (ARDS) secondary to early SARS-CoV-2 pneumonia or to other causes, and in ventilated patients without ARDS used as reference.
While left ventricular (LV) adaptation to regular, intense exercise has been thoroughly studied, data concerning the right ventricular (RV) mechanical changes and their continuum with athletic performance are scarce. The aim of this study was to characterize biventricular morphology and function and their relation to sex, age, and sports classes in a large cohort of elite athletes using three-dimensional (3D) echocardiography.
Moderate physical activity has a positive impact on health, although extreme forms of sport such as marathon running may trigger exercise-induced cardiac fatigue. The explicit distinction between the right ventricular (RV) physiological response to training and maladaptive remodeling has not yet been determined. In this study, we aimed to analyze the impact of running a marathon on RV mechanics in amateur athletes using three-dimensional (3D) echocardiography (ECHO) and the ReVISION method (RV separate wall motion quantification).
Regular vigorous physical exercise results in significant changes in cardiac morphology and function, commonly referred as the athlete’s heart. According to different sport disciplines, training regime, level of competition, age, sex, and even genetic factors, the athlete’s heart represents a broad spectrum of physiological cardiac alterations...
Aims: To investigate contraction patterns of the systemic right ventricle (SRV) in patients with transposition of great arteries (TGA) post-atrial switch operation and with congenitally corrected transposition of great arteries (ccTGA).
Data about the right ventricular (RV) mechanics adaptation to volume overload in patients with repaired tetralogy of Fallot (rToF) are limited. Accordingly, we sought to assess the mechanics of the functional remodeling occurring in the RV of rToF with severe pulmonary regurgitation.
Accurate echocardiographic evaluation of the systemic right ventricle is challenging because of its specific morphology and contraction patterns. We present a detailed multimodality assessment of the systemic right ventricle, analyze the relative contribution of the longitudinal, radial, and anteroposterior components of systolic function, and identify reasons for a potential discrepancy among imaging modalities...
More cardiology publications
Background: The Olympic preparation of athletes has been highly influenced by COVID and post-COVID syndrome. As the complex screening of athletes is essential for safe and successful sports, we aimed to repeat the 2019-year sports cardiology screening of the Olympic Swim Team before the Olympics and to compare the results of COVID and non-COVID athletes...
The relative importance of variables explaining sex differences in outcomes is scarcely explored in patients undergoing cardiac resynchronization therapy (CRT). We sought to implement and evaluate machine learning (ML) algorithms for the prediction of 1- and 3-year all-cause mortality in CRT patients...
This commentary refers to 'Machine learning-based mortality prediction: how to be connected to daily clinical practice?', by W.H. Kim and J.-T. Kim, on page 2913. We greatly appreciate the interest of Kim and Kim in our recently published work.1,2 As pointed out by them, the current version of the SEMMELWEIS-CRT score has some limitations besides its undeniable strengths...
We greatly appreciate the interest and insightful comments of Duchateau et al. regarding our work. Indeed, the standardized alignment of three-dimensional (3D) models is the linchpin of all technologies aiming to evaluate right ventricular (RV) function in a directionwise manner as variations in the definition of directions might significantly affect the measured parameters...
Our aim was to develop a machine learning (ML)-based risk stratification system to predict 1-, 2-, 3-, 4-, and 5- year all-cause mortality from pre-implant parameters of patients undergoing cardiac resynchronization therapy (CRT)...
In our original article — recently published in Clinical Transplantation — we concluded that after orthotopic heart transplantation, the radial motion of right ventricular free wall compensates for the decreased longitudinal shortening to maintain ejection fraction. The editorial from Ivey-Miranda and Farrero-Torres questioned...
Argus Cognitive was founded in 2016 by computer scientists, psychologists and a medical device entrepreneur.
Zoltan Toser (CEO) and Andras Lorincz (CSO) are computer scientists, specializing in machine learning.
Mark Pollack, MD and Latha Soorya, PhD are a practicing psychiatrist and a clinical psychologist.
Attila Meretei, MD has been developing medical devices for almost 20 years.
Our product development team is located in Budapest, Hungary.
We maintain a symbiotic relationship with the Neural Information Processing Group at Eotvos Lorand University, Budapest, Hungary, where we can test new technologies before including them in our development pipeline.
In cardiology we closely collaborate with various researchers in the US and Europe.
We are always on the lookout for talented people to join our team. We have openings in the following positions:
Our team is geographically dispersed, present in four continents, so provided you have excellent communication skills, remote work is feasible. Needless to say, good English is a must.
If all this sounds interesting, or you would like more info, don't hesitate to reach out to us at email@example.com.
We have a lot more to say about the company and the team, the unmet need, the market, our technology and products, clinical results and regulatory plans and opportunities in other fields of medicine. If you are interested in a dialogue, collaboration or joining our team, please reach out to us. Thank you!
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