dismiss

Clean Sweep Live Auction on Wed. May 1st. Click to view the full inventory

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
Posição atual:
>
> This Story


Início de uma sessão ou Registo to rate this News Story
Forward Printable StoryPrint Comment
advertisement

 

advertisement

 

Cardiology Homepage

Medical community finds ways to make TAVR safer for at-risk patients Improving outcomes with special procedures

New ultrasound tech could help detect pediatric congenital heart disease Visualizes structure and blood flow of babies' hearts

Mick Jagger resting after TAVR heart surgery The 75 year old rock star is reportedly recovering from the operation at New York Presbyterian

DHS warns some Medtronic implantable defibrillators vulnerable to hacking Software patch should resolve issue, recall not expected

New AI software identifies make and model of cardiac implants in seconds Speed up diagnosis and delivery of treatment for patients with faulty devices

Getting to the heart of cardiac ultrasound technology From premium systems to point of care, an expanding market

FDA gives thumbs-up to Genetesis MCG cardiac imaging system Measures magnetic fields produced by heart's electrical activity

Apple study suggests wearable technology may be useful in detecting atrial fibrillation May assist in stroke and hospitalization prevention

FDA gives green light for smallest, slimmest 3T CRM devices Extended battery lives, greater diagnostic and therapeutic capabilities

Echocardiogram should play role in patient selection for transcatheter mitral valve repair, says study New study highlighted at ACC

The AI system can classify intracranial
hemorrhages from small data sets and
explain the reasoning behind its decision

New AI system classifies hemorrhages using small data sets

por John R. Fischer , Staff Reporter
Researchers at the Massachusetts General Hospital (MGH) Department of Radiology have developed an AI system capable of classifying different forms of intracranial hemorrhage using relatively small data sets.

A possible tool for assessing patients with symptoms of potentially life-threatening strokes, the system is capable of producing a quick diagnosis and explaining the reasoning behind it, offering confidence to facilities which may not have access to specially trained neuroradiologists, and addressing the so-called “black box” challenge, in which systems are unable to explain how they arrived at a decision.

Story Continues Below Advertisement

THE (LEADER) IN MEDICAL IMAGING TECHNOLOGY SINCE 1982. SALES-SERVICE-REPAIR

Special-Pricing Available on Medical Displays, Patient Monitors, Recorders, Printers, Media, Ultrasound Machines, and Cameras.This includes Top Brands such as SONY, BARCO, NDS, NEC, LG, EDAN, EIZO, ELO, FSN, PANASONIC, MITSUBISHI, OLYMPUS, & WIDE.



“In medicine, it is especially hard to collect high-quality big data. It is critical to have multiple experts label a data set to ensure consistency of data. This process is very expensive and time-consuming. Some critics suggest that machine learning algorithms cannot be used in clinical practice, because the algorithms do not provide justification for their decisions. We realized that it is imperative to overcome these two challenges to facilitate the use in health care of machine learning, which has an immense potential to improve the quality of and access to care," authors Sehyo Yune, the director of researcher translation at MGH Radiology, and Hyunkwang Lee, a graduate student at the Harvard School of Engineering and Applied Sciences, said in a statement.

The FDA requires that all decision support systems provide data for users to review the reasoning behind their findings.

Trained on 904 head CT scans, the MGH solution classifies images into one of five hemorrhage subtypes, based on the location of the brain, or as no hemorrhage, reviewing and saving images from the training data set that most accurately represent the traditional features found in each classification. It then uses an atlas of distinguishing features to show a group of images similar to those of the CT scan under evaluation to explain its diagnosis.

The team designed the system to mimic the way in which radiologists analyze images, incorporating adjusting factors such as contrast and brightness for revealing subtle differences that are not immediately apparent, and the ability to scroll through adjacent CT scans to determine whether or not a finding on a single image reflects a real problem or is a meaningless artifact.

Following its completion, the researchers tested the system on a retrospective set of 100 scans with and 100 scans without intracranial hemorrhages that were taken before the system was developed, and on a prospective set that was taken after its creation of 79 scans with and 117 without hemorrhages.
  Pages: 1 - 2 >>

Cardiology Homepage


You Must Be Logged In To Post A Comment

Anuncie
Aumente a Sua Perceção da Marca
Leilões + Vendas Privadas
Comece
O mais melhor preço
Comprar Equipamento/Peças
Encontre
O preço o mais baixo
Notícia diária
Leia
A notícia a mais atrasada
Diretório
Browse tudo
DOTmed Usuários
Ética no DOTmed
Veja o nosso
Programa das éticas
O ouro parte o programa do vendedor
Receba PH
Pedidos
Programa do negociante do serviço do ouro
Receba RFP/PS
Pedidos
Fornecedores de Healthcare
Veja tudo
Ferramentas de HCP
Trabalhos/Treinamento
Achado/suficiência
Um trabalho
Parts Hunter +EasyPay
Comece as peças
Citações
Certificado recentemente
Vista recentemente
Usuários certificados
Recentemente Rated
Vista recentemente
Usuários certificados
Central Rental
Equipamento do aluguel
Para menos
Vender Equipamentos/Peças
Comece
A maioria de dinheiro
Preste serviços de manutenção ao Forum dos técnicos
Ajuda do achado
E conselho
Simples RFP
Comece o equipamento
Citações
Mostra de comércio virtual
Serviço do achado
Para o equipamento
O acesso e o uso deste local são sujeitos aos termos e às condições do nosso OBSERVAÇÃO LEGAL & OBSERVAÇÃO DA PRIVACIDADE
Propriedade de e proprietário DOTmeda .com, Inc. Copyright ©2001-2019 DOTmed.com, Inc.
TODOS OS DIREITOS RESERVADOS