Behavioral Health
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...
Cardiology
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...
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)...
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...
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)...
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),...
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...
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)...
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...
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...
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)...
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...
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...
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...
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...
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...
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.
zoltan@arguscognitive.com
+36 70 572 3135
attila@arguscognitive.com
+1 603 400 2440
Dartmouth Regional Technical Center, 16 Cavendish Court, Lebanon, NH 03766