DOTmed Home MRI Oncology Ultrasound Molecular Imaging X-Ray Cardiology Health IT Business Affairs
News Home Parts & Service Operating Room CT Women's Health Proton Therapy Endoscopy HTMs Pediatrics
SEARCH
Endroit courant :
>
>
> This Story

Forward Printable StoryPrint Comment
advertisement

 

advertisement

 

Cardiology Homepage

Artificial intelligence improves heart attack risk assessment

Philips extends advanced automation capabilities on its EPIQ CVx cardiology ultrasound platform

Acutus Medical announces $170 million financing

Phoenix Children's will soon open newly-equipped cardiovascular intensive care unit (CVICU)

Simple scan could direct treatments for angina

Philips receives FDA premarket approval for its HeartStart OnSite and HeartStart Home defibrillators

DIGISONICS receives ASE certification for the ImageGuideEcho Registry

RAPID by iSchemaView now available for use in Mexico

Guerbet announces group purchasing agreement with Premier to distribute novel microcatheters

Merit Medical acquires Brightwater Medical

Machine learning overtakes humans in predicting death or heart attack

Press releases may be edited for formatting or style
Lisbon, Portugal – 12 May 2019: Machine learning is overtaking humans in predicting death or heart attack. That’s the main message of a study presented today at ICNC 2019 (1).

The International Conference on Nuclear Cardiology and Cardiac CT (ICNC) is co-organised by the American Society of Nuclear Cardiology (ASNC), the European Association of Cardiovascular Imaging (EACVI) of the European Society of Cardiology (ESC), and the European Association of Nuclear Medicine (EANM).

Story Continues Below Advertisement

Servicing GE Nuclear Medicine equipment with OEM trained engineers

We offer full service contracts, PM contracts, rapid response, time and material,camera relocation. Nuclear medicine equipment service provider since 1975. Click or call now for more information 800 96 NUMED



By repeatedly analysing 85 variables in 950 patients with known six-year outcomes, an algorithm “learned” how imaging data interacts. It then identified patterns correlating the variables to death and heart attack with more than 90% accuracy.

Machine learning, the modern bedrock of artificial intelligence (AI), is used every day. Google’s search engine, face recognition on smartphones, self-driving cars, Netflix and Spotify recommendation systems all use machine learning algorithms to adapt to the individual user.

Study author Dr Luis Eduardo Juarez-Orozco, of the Turku PET Centre, Finland, said: “These advances are far beyond what has been done in medicine, where we need to be cautious about how we evaluate risk and outcomes. We have the data but we are not using it to its full potential yet.”

Doctors use risk scores to make treatment decisions. But these scores are based on just a handful of variables and often have modest accuracy in individual patients. Through repetition and adjustment, machine learning can exploit large amounts of data and identify complex patterns that may not be evident to humans.

Dr Juarez-Orozco explained: “Humans have a very hard time thinking further than three dimensions (a cube) or four dimensions (a cube through time). The moment we jump into the fifth dimension we’re lost. Our study shows that very high dimensional patterns are more useful than single dimensional patterns to predict outcomes in individuals and for that we need machine learning.”

The study enrolled 950 patients with chest pain who underwent the centre’s usual protocol to look for coronary artery disease. A coronary computed tomography angiography (CCTA) scan yielded 58 pieces of data on presence of coronary plaque, vessel narrowing, and calcification. Those with scans suggestive of disease underwent a positron emission tomography (PET) scan which produced 17 variables on blood flow. Ten clinical variables were obtained from medical records including sex, age, smoking and diabetes.
  Pages: 1 - 2 - 3 >>

Cardiology Homepage


You Must Be Logged In To Post A Comment

La publicité d'email
Développez la notoriété de votre marque
Enchères + Ventes Privées
Obtenir le meilleur prix
Acheter des équipement / pièces
Trouver le meilleur prix
Infos du jour
Lire Les dernières nouvelles
Annuaire
Consulter tous les utilisateurs DOTmed
Éthique concernant DOTmed
Voir notre programme d'éthique
L'or partie le programme de fournisseur
Recevoir des demandes PH
Programme de marchand de service d'or
Recevoir des demandes
Fournisseurs de soins de santé
Voir tous les outils des HCP (abréviation pour les professionnels de la santé)
Jobs/Formation
Trouver / combler un poste
Parts Hunter +EasyPay
Obtenir des devis de pièces
Voir les utilisateurs récemment certifiés
Voir les utilisateurs récemment certifiés
Récemment évalué sur DOTmed
Voir les utilisateurs récemment certifiés
Central de location
Louer de l’équipement à moindre prix
Vendre des équipements / pièces
Obtenir le maximum d'argent
Service Technicians Forum
Trouver de l'aide et des conseils
Simple demande de propositions
Obtenir des devis pour des appareils
Expo Virtuelle
Trouver des services d'appareils
L'Access et l'utilisation de cet emplacement est sujet aux modalités et aux conditions du notre de nos MENTIONS LEGALES & DONNEES PERSONELLES
Propriété de et classe des propriétaires DOTmedà .com, inc. Copyright ©2001-2019 DOTmed.com, Inc.
TOUS DROITS RÉSERVÉS