NOESIS

NOESIS will provide health professionals involved in research and cure of cardiac and cardiovascular diseases, with an easily and from everywhere accessible Knowledge Management system equipped with a Decision Support System tool, to be used for supporting them in their clinical decisions both in emergency situations and during their daily work with patients.

Medical knowledge is inherently complex and uncertain. Medical experts may provide different interpretations for symptoms since all of them also depend on a given context and most of them are established by statistical utilisation. In the United Kingdom a pilot study found a 10% adverse event rate, of which half were preventable.

NOESIS will develop an intelligent environment that enables ubiquitous management of citizens' health status and to assist health professionals in coping with some major challenges, risk management and the integration into clinical practice of advances in health knowledge. The selected clinical domain addressed by the project will be Cardiology.

In particular NOESIS will contribute to:

  • Reduce the uncertainty in diagnosis of diseases, focusing on cardiovascular diseases.
  • Support the process of diagnosis and treatment by reducing errors and minimising risks.
  • Enhance the quality of medical care provided through the use of decision support mechanisms.
  • Provide methods for establishing trust and confidence of users towards information sources.

For further information, please visit:
http://www.noesis-eu.org

Project co-ordinator:
Boehringer Ingelheim Italia S.p.A.

Partners:

  • Boehringer Ingelheim Italia S.P.A. (IT)
  • Siemens S.A. (ES)
  • Airial Conseil (FR)
  • Universite Joseph Fourier Grenoble (Timc Laboratory) (FR)
  • Centre Hospitalier Regional Universitaire de Grenoble (FR)
  • Sesa Ltd. (AT)
  • University of Ioannina (GR)
  • Hellenic Cardiological Society (GR)
  • Medisell Co. Ltd. (CY)
  • M.R.I. Lefkothea Medical Services (CY)
  • Business Flow Consulting (FR)

Timetable: from 01/04 – to 12/06

Total cost: € 7.715.793

EC funding: € 4.400.000

Instrument: IP

Project Identifier: IST-2002-507960

Source: FP6 eHealth Portfolio of Projects

Most Popular Now

Personalized Breast Cancer Prevention No…

A new telemedicine service for personalised breast cancer prevention has launched at preventcancer.co.uk. It allows women aged 30 to 75 across the UK to understand their risk of developing breast...

New App may Help Caregivers of People Ge…

A new study by investigators from Mass General Brigham showed that a new app they created can help improve the quality of life for caregivers of patients undergoing bone marrow...

An App to Detect Heart Attacks and Strok…

A potentially lifesaving new smartphone app can help people determine if they are suffering heart attacks or strokes and should seek medical attention, a clinical study suggests. The ECHAS app (Emergency...

Philips Foundation 2024 Annual Report: E…

Marking its tenth anniversary, Philips Foundation released its 2024 Annual Report, highlighting a year in which the Philips Foundation helped provide access to quality healthcare for 46.5 million people around...

New AI Transforms Radiology with Speed, …

A first-of-its-kind generative AI system, developed in-house at Northwestern Medicine, is revolutionizing radiology - boosting productivity, identifying life-threatening conditions in milliseconds and offering a breakthrough solution to the global radiologist...

Scientists Argue for More FDA Oversight …

An agile, transparent, and ethics-driven oversight system is needed for the U.S. Food and Drug Administration (FDA) to balance innovation with patient safety when it comes to artificial intelligence-driven medical...

New Research Finds Specific Learning Str…

If data used to train artificial intelligence models for medical applications, such as hospitals across the Greater Toronto Area, differs from the real-world data, it could lead to patient harm...

Giving Doctors an AI-Powered Head Start …

Detection of melanoma and a range of other skin diseases will be faster and more accurate with a new artificial intelligence (AI) powered tool that analyses multiple imaging types simultaneously...

Patients say "Yes..ish" to the…

As artificial intelligence (AI) continues to be integrated in healthcare, a new multinational study involving Aarhus University sheds light on how dental patients really feel about its growing role in...

AI Agents for Oncology

Clinical decision-making in oncology is challenging and requires the analysis of various data types - from medical imaging and genetic information to patient records and treatment guidelines. To effectively support...

'AI Scientist' Suggests Combin…

An 'AI scientist', working in collaboration with human scientists, has found that combinations of cheap and safe drugs - used to treat conditions such as high cholesterol and alcohol dependence...

Brains vs. Bytes: Study Compares Diagnos…

A University of Maine study compared how well artificial intelligence (AI) models and human clinicians handled complex or sensitive medical cases. The study published in the Journal of Health Organization...