Page 2 - Machine Learning Based Software News Today : Breaking News, Live Updates & Top Stories | Vimarsana

Stay updated with breaking news from Machine learning based software. Get real-time updates on events, politics, business, and more. Visit us for reliable news and exclusive interviews.

Top News In Machine Learning Based Software Today - Breaking & Trending Today

HPE GreenLake Scores AI-As-A-Service Pact With AI X-ray Imaging Pioneer Carestream


HPE GreenLake Scores AI-As-A-Service Pact With AI X-ray Imaging Pioneer Carestream
‘HPE is a known leader in as a service, but their solutions were also more vendor agnostic from an applications stack perspective,’ says Carestream Health CTO Dharmendu Damany. ‘Also HPE had solutions that supported seamless deployment and management of the devices at the micro-edge, edge, private cloud and public cloud, so the scale was there.’
By
Steven Burke May 20, 2021, 08:00 AM EDT
Carestream Health, a pioneer of AI-based X-ray imaging systems, has inked one of the first Hewlett Packard Enterprise GreenLake AI-as-a-service pacts.
The three-year, multimillion dollar GreenLake on-premise cloud services deal is a “game changer” that opens the door to a new era of increased adoption of AI-based systems in healthcare, said Dharmendu Damany, chief technology officer at Rochester, New York-headquartered Carestream. ....

United States , Green Lake , Mike Strohl , Arwa Kaddoura , Dharmendu Damany , Carestream Health , Hewlett Packard Enterprise Greenlake , New York Headquartered , Drug Administration , Machine Learning Based Software , Medical Device Action Plan , Cloud Infrastructure , Loud Platforms , Cloud Software , Cloud Security , ஒன்றுபட்டது மாநிலங்களில் , பச்சை ஏரி , மைக் ஸ்ட்ரோல் , கவனிப்பு ஆரோக்கியம் , ஹெவ்லெட் ப்யாகர்ட் நிறுவன கிரீன்லேக் , இயந்திரம் கற்றல் அடிப்படையிலானது மென்பொருள் , மருத்துவ சாதனம் நடவடிக்கை திட்டம் , மேகம் உள்கட்டமைப்பு , உரத்த பாதுகாப்பு ,

FDA publishes Action Plan to regulate AI and ML based products


FDA publishes Action Plan to regulate AI and ML based products
The FDA has advanced an Action Plan focussed on possible means and methods of regulating AI/ML based products
(AP)Premium
The Action Plan furthers and builds on concepts covered in a discussion paper released in April 2019
Share Via
Read Full Story
On 12 January 2021, the US Food and Drug Administration (FDA) published a five part action plan which provides short-term actions to regulate products that incorporate artificial intelligence and/or machine learning (AI/ML). This Artificial Intelligence/Machine Learning (AI/ML)-Based Software as a Medical Device Action Plan was released by the Digital Health Centre of Excellence (DCE). The DCE launched on 22 September 2020 and exists within the FDA s Centre for Devices and Radiological Health. The DCE s aim is to further the FDA s overarching dedication to the advancement of digital health technology. ....

University Of California San Francisco , Stanford University , Device Cybersecurity Program , John Hopkins University , Proposed Regulatory Framework , Machine Learning Based Software , Medical Device , Action Plan , Tailored Regulatory Framework , Predetermined Change Control Plan , Good Machine Learning Process , Good Machine Learning Practice , Medical Device Cybersecurity Program , Patient Centred Approach , Incorporating Transparency , Regulatory Science Methods Related , Algorithm Bias , California San Francisco , John Hopkins , Predetermined Change Control , Join Mint , Machine Learning , Software Asa Medical Device , Artificial Intelligence , Regulatory Framework , பல்கலைக்கழகம் ஆஃப் கலிஃபோர்னியா சான் பிரான்சிஸ்கோ ,

Five highlights from FDA's new AI device regulation Action Plan | Hogan Lovells


To embed, copy and paste the code into your website or blog:
On January 12, the U.S. Food and Drug Administration’s Center for Devices and Radiological Health (CDRH) Digital Health Center of Excellence
released its new five-part “Artificial Intelligence/Machine Learning (AI/ML)-Based Software as a Medical Device (SaMD) Action Plan
,” which describes the agency’s efforts to regulate products that incorporate AI. It is a direct response to stakeholder feedback to the April 2019 discussion paper
, “Proposed Regulatory Framework for Modifications to Artificial Intelligence/Machine Learning-Based Software as a Medical Device.” Although the Action Plan is light on details for AI regulation, it pledges specific actions that show FDA is moving forward with its “Predetermined Change Control Plan” regulatory framework for machine learning devices. The docket ....

Hogan Lovells , Johns Hopkins University , Patient Engagement Advisory Committee , Device Cybersecurity Program , Digital Health Center , Centers For Excellence , Radiological Health , University Of California San Francisco , Drug Administration Center , Stanford University , Drug Administration , Machine Learning , Based Software , Medical Device , Action Plan , Regulatory Framework , Machine Learning Based Software , Change Control , Change Control Plan , Machine Learning Process , Good Machine Learning Practice , Engagement Advisory Committee , Regulatory Science , California San Francisco , Johns Hopkins , ஹோகன் லவ்ல்ஸ் ,