Noninvasive FFR derived from CCTA is a novel method with high diagnostic performance for the detection and exclusion of coronary lesions that cause ischemia.

Artificial intelligence (AI) has transformed key aspects of human life. Machine learning (ML), which is a subset of AI wherein machines autonomously acquire information by extracting patterns from large databases, has been increasingly used within the medical community, and specifically within the domain of cardiovascular diseases. In this review, we present a brief overview of ML methodologies that are used for the construction of inferential and predictive data-driven models. We highlight several domains of ML application such as echocardiography, electrocardiography, and recently developed non-invasive imaging modalities such as coronary artery calcium scoring and coronary computed tomography angiography. We conclude by reviewing the limitations associated with contemporary application of ML algorithms within the cardiovascular disease field.

S Heart, Lung and CirculationAbstracts S159 2011;20S:S156-S251 incentive survey with 65 multichoice questions covering all aspects of the service (indications, contraindications, image settings, safety, echo lab workforce and workflow issues and clinical relevance). These answers and a free text option were analysed to assess the program and to determine whether this survey method may be an adequate quality control measure. This survey was approved by the hospital's Human Research Ethics Committee.Results: Of the 54 staff invited to participate, 31 (55%) responded. Ninety-seven percent agreed contrast can improve image quality and improve assessment for LV non compaction (93%), LV thrombus (93%), LV morphology (90%), enhance spectral Doppler signals (70%) and RV function (44%). Seventy-four percent reported contrast results altered patient management. Eighty-two percent reported it increased confidence in echocardiographic findings. However, 60% felt contrast echo slowed down workflow through the department.Conclusion: The online survey technique proved an effective and efficient method to obtain, organise and interpret data in those who did respond. The 55% response rate was disappointing but higher than usual for comparable surveys (10%). The contrast program was interpreted positively with a high level of general knowledge and clinical relevance. Constructive feedback centred on disseminating the technique and recommendations to improve workflow through the department.

Transapical transcatheter mitral valve implantation is technically feasible and can be performed safely. Early hemodynamic performance of the prosthesis was excellent. Transcatheter mitral valve implantation may become an important treatment option for patients with severe MR who are at high operative risk.