Call for Abstracts: European Congress on eCardiology and eHealth 2016

eCardiology and eHealth 201626 - 28 October 2016, Berlin, Germany.
eHealth is presently reshaping the way doctors and medical professionals work or interact between themselves and with their patients, thanks to new tools and data. There is a strong need to close the enormous gap between great technical progress and limited clinical application. This congress aims to contribute to a major step forward in this regard by bringing the various stakeholders together. Clinicians will learn about the most important tools in eCardiology and eHealth to improve their daily work, for the benefit of their patients, whilst researchers, technicians, industry partners, health authorities and regulators, alike, will learn from clinicians what their real needs are.

The third European Congress on eCardiology and eHealth is dedicated to the use of eHealth solutions in every aspect of cardiovascular care such as prevention, diagnosis, risk assessment, monitoring, education, counselling and treatment.

Join the eCardiology and eHealth Congress in Berlin, in October 2016, to present on or learn about new technological platforms, products and/or services in eHealth, focusing on eCardiology, and, thereby, contributing to build a stronger bridge, connecting clinicians and other key stakeholders.

Become an active leader in the translation of technology into real-world, clinical applications, to further improve cardiovascular patient care and clinical outcomes.

The Langenbeck-Virchow-Haus ("LVH"), centrally located in Berlin, at the heart of the Charité Campus, will be hosting us for this exciting conference. We look forward to having you with us, during the third edition of the European Congress on eCardiology and eHealth for what we believe will be a thought-provoking and stimulating exchange forum amongst all active stakeholders in this fast developing field.

The call for abstracts is now open
Get visibility onsite during the congress and get a chance to publish your work in the supplement of the European Journal of Preventive Cardiology.

Submission deadline is Monday 27 June 2016, 23:59 CET (Central European Time)

For further information, please visit:
http://www.e-cardiohealth.com

Most Popular Now

Welcome Evo, Generative AI for the Genom…

Brian Hie runs the Laboratory of Evolutionary Design at Stanford, where he works at the crossroads of artificial intelligence and biology. Not long ago, Hie pondered a provocative question: If...

Research Study Shows the Cost-Effectiven…

Earlier research showed that primary care clinicians using AI-ECG tools identified more unknown cases of a weak heart pump, also called low ejection fraction, than without AI. New study findings...

Remote Telemedicine Tool Found Highly Ac…

Collecting images of suspicious-looking skin growths and sending them off-site for specialists to analyze is as accurate in identifying skin cancers as having a dermatologist examine them in person, a...

New Guidance for Ensuring AI Safety in C…

As artificial intelligence (AI) becomes more prevalent in health care, organizations and clinicians must take steps to ensure its safe implementation and use in real-world clinical settings, according to an...

Philips Aims to Advance Cardiac MRI Tech…

Royal Philips (NYSE: PHG, AEX: PHIA) and Mayo Clinic announced a research collaboration aimed at advancing MRI for cardiac applications. Through this investigation, Philips and Mayo Clinic will look to...

New Study Reveals Why Organisations are …

The slow adoption of blockchain technology is partly driven by overhyped promises that often obscure the complex technological, organisational, and environmental challenges, according to research from the University of Surrey...

Almost All Leading AI Chatbots Show Sign…

Almost all leading large language models or "chatbots" show signs of mild cognitive impairment in tests widely used to spot early signs of dementia, finds a study in the Christmas...

Deep Learning Model Accurately Diagnoses…

Using just one inhalation lung CT scan, a deep learning model can accurately diagnose and stage chronic obstructive pulmonary disease (COPD), according to a study published today in Radiology: Cardiothoracic...

Shape-Changing Device Helps Visually Imp…

Researchers from Imperial College London, working with the company MakeSense Technology and the charity Bravo Victor, have developed a shape-changing device called Shape that helps people with visual impairment navigate...

Bayer Acquires HiDoc Technologies and Ca…

Bayer is today announcing that it plans to acquire HiDoc Technologies GmbH in the first quarter of 2025 and to start commercialization of the digital health application, Cara Care®. Cara...

AI-Based Chatbot Created for Bioimage An…

Scientists from Universidad Carlos III de Madrid (UC3M), together with a research team from Ericsson and the KTH Royal Institute of Technology in Sweden, have developed an artificial intelligence-based software...

Analyzing Multiple Mammograms Improves B…

A new study from Washington University School of Medicine in St. Louis describes an innovative method of analyzing mammograms that significantly improves the accuracy of predicting the risk of breast...