Peter Ruff

Comparison of the 2024 ESC risk-factor clinical likelihood model and an artificial intelligence-based tool for ischemia detection in patients with suspected chronic coronary syndrome referred for PET

S Frey, I Schneider, A S Otto, F Geiser et autres

Abstract Introduction Patients are referred to coronary artery disease (CAD) testing based on their pre-test probability (PTP). The novel risk factor-weighted clinical likelihood (RF-CL) proposed by the 2024 ESC guidelines on chronic coronary syndromes (CCS) uses symptoms, age, sex and risk factors. …

ch (code pays fourni par la source)

Artificial intelligence to improve ischemia prediction in Rubidium Positron Emission Tomography—a validation study

Simon Frey, Adam Bakula, Andrew Tsirkin, Vasily Vasilchenko et autres

Background: Patients are referred to functional coronary artery disease (CAD) testing based on their pre-test probability (PTP) to search for myocardial ischemia. The recommended prediction tools incorporate three variables (symptoms, age, sex) and are easy to use, but have a limited diagnostic …

ch, cl, de, nl (code pays fourni par la source)

Artificial intelligence to improve ischemia prediction in rubidium positron emission tomography

Simon Frey, Philip Haaf, Federico Caobelli, Andrew Tsirkin et autres

Abstract Funding Acknowledgements Type of funding sources: None. Background Patients are referred to coronary artery disease (CAD) testing based on their pre-test probability (PTP). The available, easy-to-use risk prediction tools use three variables only and their diagnostic accuracy is limited. Artificial intelligence-based …

ch (code pays fourni par la source)

Can artificial intelligence fill in the gaps in heart failure guidelines by providing precision medicine in medication advice?

Hesam Amin, Andrew Tsirkin, Peter Ruff, Hans‐Peter Brunner‐La Rocca

Abstract Background The treatment of heart failure (HF) consists of many different types of medication. It is not yet known which patients benefit most from which medication type. Artificial intelligence (AI) may be helpful to predict the best individual combination of drugs …

nl, gb (code pays fourni par la source)

Can artificial intelligence fill in the gaps in heart failure guidelines by providing precision medicine in medication advice?

Hesam Amin, Andrew Tsirkin, Peter Ruff, Hans‐Peter Brunner‐La Rocca

Abstract Background The treatment of heart failure (HF) consists of many different types of medication. It is not yet known which patients benefit most from which medication type. Artificial intelligence (AI) may be helpful to predict the best individual combination of drugs …

nl, gb (code pays fourni par la source)

Use of artificial intelligence to assess the risk of coronary artery disease without additional (non-invasive) testing: validation in a low-risk to intermediate-risk outpatient clinic cohort

Casper Eurlings, Sema Bektaş, Sandra Sanders‐van Wijk, Andrew Tsirkin et autres

OBJECTIVES: Predicting the presence or absence of coronary artery disease (CAD) is clinically important. Pretest probability (PTP) and CAD consortium clinical (CAD2) model and risk scores used in the guidelines are not sufficiently accurate as the only guidance for applying invasive testing …

nl, ch (code pays fourni par la source)

Artificial intelligence approach improves ischaemia prediction beyond the known pretest probability scores

Adam Bakula, Philip Haaf, Federico Caobelli, Kathrin Thommen et autres

Abstract Background Pre-test probability (PTP) assessment is crucial in the assessment of patients with suspected ischaemia/coronary artery disease. Presently there is no established role for artificial intelligence in estimating PTP. Purpose Comparison of a recently developed memetic pattern based algorithm (MPA) with …

ch, gb (code pays fourni par la source)

Towards a digital blueprint: data, technology and collaboration at the core of HS2

Roberto Alberola, Peter Ruff

Abstract This project is one of the most complex and challenging railway initiatives the United Kingdom has ever undertaken. Tasked with saving the government £500 million in digital efficiencies, HS2 is committed to applying global best practice in design and construction, setting …

es, gb (code pays fourni par la source)

Artificial intelligence supported patient self-care in chronic heart failure: a paradigm shift from reactive to predictive, preventive and personalised care

Matthew Barrett, Josiane JJ Boyne, Julia Brandts, Hans‐Peter Brunner‐La Rocca et autres

Heart failure (HF) is one of the most complex chronic disorders with high prevalence, mainly due to the ageing population and better treatment of underlying diseases. Prevalence will continue to rise and is estimated to reach 3% of the population in Western …

ie, nl, de, us, be, gb (code pays fourni par la source)

A new non-invasive diagnostic tool in coronary artery disease: artificial intelligence as an essential element of predictive, preventive, and personalized medicine

Michael Johannes Zellweger, Andrew Tsirkin, Vasily Vasilchenko, Michael Failer et autres

ch, cl, gb, de, at (code pays fourni par la source)

Managing Communications in a Crisis

Peter Ruff, Kazem Aziz

The difference between a drama and a crisis is down to good management - or more specifically, good communication. How you communicate with everyone: shareholders, other business partners, employees, the press, and so on, in the hours and days following a potential …

EPMA-World Congress 2015

Jella‐Andrea Abraham, Ildar Akhmetov, Russell J. Andrews, Leónidas M. Quintana et autres

de, cz, us, cl, ua, pl, sk, nl, se, gb, es, mt, ru, it, at, fr, be, lu, ie, Maroc (code pays fourni par la source)