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ASSOBRAFIR clinical practice guidelines in cardiovascular physical therapy: Exercise-based interventions in outpatient rehabilitation programs for heart failure

Author(s): Karsten M; Gardenghi G; Arruda ACT; Catai AM; Vieira AM; Stein C; de Araujo CLP; Pereira DAG; Matte DL; da Silva FMF; GuimarĂ£es FS; Ghisi GLM; Chiappa GRS; Sbruzzi G; Cipriano GFB; Ribeiro GDS; Milani JGPO; Neves LMT; Calegari L; Morais ...

Background: Exercise training is a core component of cardiovascular rehabilitation programs for patients with heart failure (HF). In Brazil, physical therapists frequently deliver rehabilitation interventions. Given heart failure clinical management advancements and varied rehabilitation approach ...

Article GUID: 40857977


Deep learning-based feature discovery for decoding phenotypic plasticity in pediatric high-grade gliomas single-cell transcriptomics

Author(s): Abicumaran Uthamacumaran

Advancements in AI-powered systems medicine have revolutionized biomarker discovery through emergent and explainable features. By use of complex network dynamics and graph-based machine learning, we identified critical determinants of lineage-specific plasticity across the single-cell transcriptomics of pediatric high-grade glioma (pHGGs) subtypes: IDHWT ...

Article GUID: 40848317


Advancements in Magnetorheological Foams: Composition, Fabrication, AI-Driven Enhancements and Emerging Applications

Author(s): Khodaverdi H; Sedaghati R;

Magnetorheological (MR) foams represent a class of smart materials with unique tunable viscoelastic properties when subjected to external magnetic fields. Combining porous structures with embedded magnetic particles, these materials address challenges such as leakage and sedimentation, typically encountered in conventional MR fluids while offering advanta ...

Article GUID: 40732777


Evolution from the physical process-based approaches to machine learning approaches to predicting urban floods: a literature review

Author(s): Md Shike Bin Mazid Anik

Urban flooding has become a growing concern for many cities due to accelerating urbanisation, changing weather, and drainage system aging. Earlier studies of floods have taken primarily the traditional process-based approach to predicting urban floods, offering limited exploration of recent advancements in AI-driven, real-time, and community-integrated ap ...

Article GUID: 40692624


Comprehensive review of reinforcement learning for medical ultrasound imaging

Author(s): Elmekki H; Islam S; Alagha A; Sami H; Spilkin A; Zakeri E; Zanuttini AM; Bentahar J; Kadem L; Xie WF; Pibarot P; Mizouni R; Otrok H; Singh S; Mourad A;

Medical Ultrasound (US) imaging has seen increasing demands over the past years, becoming one of the most preferred imaging modalities in clinical practice due to its affordability, portability, and real-time capabilities. However, it faces several challenges that limit its applicability, such as ...

Article GUID: 40567264


Emerging Image-Guided Navigation Techniques for Cardiovascular Interventions: A Scoping Review

Author(s): Roshanfar M; Salimi M; Jang SJ; Sinusas AJ; Kim J; Mosadegh B;

Background: Image-guided navigation has revolutionized precision cardiac interventions, yet current technologies face critical limitations in real-time guidance and procedural accuracy. Method: Here, we comprehensively evaluate state-of-the-art imaging modalities, from conventional fluoroscopy to emerging hybrid systems, analyzing their applications acros ...

Article GUID: 40428106


Machine learning innovations in CPR: a comprehensive survey on enhanced resuscitation techniques

Author(s): Islam S; Rjoub G; Elmekki H; Bentahar J; Pedrycz W; Cohen R;

This survey paper explores the transformative role of Machine Learning (ML) and Artificial Intelligence (AI) in Cardiopulmonary Resuscitation (CPR), marking a paradigm shift from conventional, manually driven resuscitation practices to intelligent, data-driven interventions. It examines the evolution of CPR through the lens of predictive modeling, AI-enha ...

Article GUID: 40336660


Experimental Investigation of the Effect of a MitraClip on Left Ventricular Flow Dynamics

Author(s): Teimouri K; Darwish A; Saleh W; Ng HD; Kadem L;

Purpose: The MitraClip device has emerged as an effective treatment option for patients with mitral regurgitation. However, implementing a MitraClip alters the mitral valve structure and left ventricular flow dynamics. In this study, we experimentally investigate the effects of the MitraClip and the resulting twin pulsed jets on flow dynamics within the l ...

Article GUID: 40325266


Advanced Robotics for the Next-Generation of Cardiac Interventions

Author(s): Roshanfar M; Salimi M; Kaboodrangi AH; Jang SJ; Sinusas AJ; Wong SC; Mosadegh B;

With an increasing number of elderly individuals, the demand for advanced technologies to treat cardiac diseases has become more critical than ever. Additionally, there is a pressing need to reduce the learning curve for cardiac interventionalists to keep pace with the rapid development of new types of procedures and devices and to expand the adoption of ...

Article GUID: 40283240


An Effective and Fast Model for Characterization of Cardiac Arrhythmia and Congestive Heart Failure

Author(s): Lahmiri S; Bekiros S;

Background/Objectives: Cardiac arrhythmia (ARR) and congestive heart failure (CHF) are heart diseases that can cause dysfunction of other body organs and possibly death. This paper describes a fast and accurate detection system to distinguish between ARR and normal sinus (NS), and between CHF and NS. Methods: the proposed automatic detection system uses t ...

Article GUID: 40218199


Domains of wheelchair users socio-emotional experiences: Design insights from a scoping review

Author(s): Rasoulivalajoozi M; Cucuzzella C; Farhoudi M;

Background: Physical accessibility is not the only concern for wheelchair users (WUs); they also face barriers to social presence, such as challenges in social engagement and negative stereotypes. Identifying key domains in the literature that impact their social and emotional experiences is essential to addressing these issues. Objective: This scoping r ...

Article GUID: 40164524


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