- As the digital pathology market grows, facilities that rely on digital pathology will start using artificial intelligence (AI) to assist. AI could help health professionals cope with the gigantic quantities of data - Discover why healthcare facilities increasingly realize that AI could help achieve significant impacts with digital pathology.Thanks to approvals from the Food and Drug Administration (FDA) for applications such as primary disease diagnosis, digital pathology is rapidly becoming
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Machine Learning in Healthcare | ML News, Analysis, Insights - HIT Consultant
10 Factors Radiologists Should Consider When Selecting AI Vendors
With over 150 independent software vendors developing machine learning solutions for medical imaging, sorting through the plethora of options to select vendors is a challenge. Here are 10 factors radiologists should consider (and questions they should ask) before partnering with vendors providing AI solutions for medical imaging.
1. Clinical Relevancy
The foremost consideration for healthcare providers adopting AI into their clinical workflow is relevancy. Does the AI solution truly
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Industry 4.0 in Life Sciences: A “5C” Point of View
McKinsey & Company describes Industry 4.0 as the next phase in the digitization of the manufacturing sector that is being driven by four disruptions: the astonishing rise in data volumes, computational power and connectivity, especially new low-power wide-area networks; the emergence of analytics and business intelligence capabilities; the new forms of human-machine interaction, such as touch interfaces and augmented reality systems; and the improvements in transferring digital instructions
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Geisinger, Medial EarlySign Advances to First Stage of CMS AI Health Outcomes Challenge
- Geisinger Health was recently named by the Centers for Medicare & Medicaid Services among the 25 candidates advancing to the first stage of its AI Health Outcomes challenge.- The CMS AI Health Outcomes challenge provides innovators with the opportunity to demonstrate how AI tools may be implemented to predict health outcomes and keep patients healthy in hopes of more AI tools being considered for potential use in CMS Innovation Center payment and service delivery models. Geisinger, an
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InterSystems, Virtusa Partner to Enhance Patient Data Integration
- InterSystems and Virtusa Corporation partner to enhance the healthcare data integration capabilities of its vLife™ life sciences platform.- The Collaboration will create an advanced platform for healthcare data management, research and analytics.InterSystems, and Virtusa Corporation, a global provider of digital strategy, digital engineering, and IT services and solutions have announced their partnership in an effort to drive positive patient outcomes while reducing cost through improved
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Orbita Launches Voice-Enabled, AI-Driven Bedside Virtual Health Assistant
- Conversational AI leader announces OrbitaASSIST, a digitally reimagined voice-powered, AI-driven virtual health assistant proven to improve patient communication at the bedside. - Research shows as much as 70% reduction in median response time to calls for help, 87% of nurses feeling more confident in responding to calls, and 100% of patients preferring it for future hospitalization.Orbita, the provider of healthcare's most powerful conversational AI platform, announced today that it is now
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Heart Failure is Detectable at Point of Care Using ECG-Enabled Stethoscope, Mayo Clinic and Eko Finds
- Eko and Mayo Clinic announced they have proven that heart failure is detectable during routine physical exams, further validating the Eko DUO digital stethoscopes as a heart failure screening tool. - Today’s news marks the first time that a point of care device with a single lead ECG combined with an AI algorithm identified low ejection fraction in patients.- The results of these findings, which are comparable to research published earlier this year in NatureMedicine, were presented over the
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Life Image, Graticule Launches Imaging Dataset In AWS Data Exchange
- Life Image and Graticule announced the availability of GLIMPS (Graticule Life Image Machine Parsed Set) data licensing subscriptions in AWS Data Exchange. - GLIMPS (Graticule Life Image Machine Parsed Set) is a de-identified patient-level data set including a summary of features generated from NLP processing on Life Image data. - The goal of GLIMPS is to provide a cost-effective patient-level snapshot to biopharma data science teams to fuel the necessary discussions about these data, leading
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Deloitte, Amazon Web Services Partner to Create New Health Ecosystems Through Data
- Deloitte is now working with Amazon Web Services (AWS) and its new cloud-based service AWS Data Exchange to help organizations quickly and easily find, access and share data from other institutions securely.- Deloitte and AWS Data Exchange together will help organizations and researchers uncover the value created from the vast amounts of data generated throughout the healthcare ecosystem. Most of this data has been inaccessible – and if it is accessible, it’s difficult to find and obtain. -
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Artificial Intelligence’s Need for Health Data – Finding An Ethical Balance
With doctors’ time in short supply, one area in which AI-driven tools could help transform healthcare is by increasing diagnostic accuracy. AI-driven diagnostic tools, especially in areas like cardiology, have the potential to save the healthcare system money and most importantly save lives. They are developed using incomprehensibly large datasets and can, therefore, discover patterns that are invisible to the human eye.
For example, echo-based tools combined with deep clinical insight,
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