- MaxQ AI and GE Healthcare announces the expansion of their partnership that will bring the power of AI-enabled solutions into hospitals and emergency rooms worldwide.- MaxQ AI’s ACCIPIO ICH and Stroke platform will be integrated into the next generation of GE Healthcare’s PACS and Universal Viewing platforms- This addition makes GE Healthcare the first to offer a comprehensive CT and PACS MaxQ AI offering. MaxQ AI, the industry-leading medical diagnostic AI company, today announced that the
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Rad AI Raises $4M to Automate Repetitive Tasks for Radiologists Through Machine Learning
- Rad AI raises $4M in seed funding led by Gradient Ventures, Google’s AI-focused venture fund to transform radiology with the latest advances in AI to save radiologists 60+ minutes a day.
- By streamlining existing workflow and automating repetitive manual tasks, Rad AI increases daily productivity while reducing radiologist burnout.
- Rad AI provides more consistent radiology reports for ordering clinicians, and higher accuracy for the patients it serves.
Berkeley-based Rad AI, a
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10 Factors Radiologists Should Consider When Selecting AI Vendors
Dr. Sanjay M. Parekh Ph.D., Sr Market Analyst at Signify Research Ltd.
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
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Analysis: Why EMRs Will Not Replace Enterprise Imaging IT
The growing influence and uptake of electronic medical records (EMRs) in healthcare have driven debate over the future role of specialist clinical and diagnostics software. With interoperability in the health sector still a major challenge, many health providers are looking to simplify their IT systems, consolidating to fewer software platforms and few vendor partners. With recent extensive and long-term investment in EMR systems, some healthcare providers considering the EMR as a potential
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Intelerad, Zebra Medical Vision Partner to Accelerate AI Adoption for Radiologists
- Intelerad and Zebra Medical Vision join forces to accelerate AI adoption through newly released Intelerad’s Odyssey workflow solution.- The partnership will further help radiologists increase productivity, improve clinical decisions and provide high-quality care globally.After expanding its “all-in-one” AI bundle, which includes 3 FDA 510(k) clearances, the deep learning medical imaging analytics company, Zebra Medical Vision, is now announcing a new joint partnership
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Getting Back to Joy in Work: A Call to Prioritize The Patient-Provider Relationship
Dr. Tashfeen Ekram, Co-founder and Chief Medical Officer at Luma Health
When I think about the term “joy in work”, coined by the Institute for Health Improvement, the first thing that comes to mind are my patients and their health. If I feel like I can contribute in some way to overcoming an illness, meeting their health goals, or improving their quality of life, then it makes the long days of work worthwhile. Like anyone else in any other profession, the impact I make through my work keeps
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FDA Clears GE Healthcare’s AI Algorithms Embedded on Mobile X-Ray Device
- GE Healthcare awarded Food and Drug Administration’s 510(k) clearance of Critical Care Suite, an industry-first collection of artificial intelligence (AI) algorithms embedded on a mobile X-ray device.
- Algorithms help radiologists prioritize critical cases with a suspected pneumothorax – a type of collapsed lung – by immediately flagging critical cases to radiologists for triage, which could drastically cut the average review time from up to eight hours.
- Critical Care Suite
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AI vs. Humans: AI Solution Beats Stanford Radiologists in Chest X-ray Diagnostics Competition
JF Healthcare, a Nanchang, China-based medical diagnostic startup is the first organization in the world to beat Stanford University radiologists in a competition designed by the Stanford Machine Learning group to compare the capability of artificial intelligence (AI) to human experts in interpreting chest x-rays.Standard Chest X-ray Diagnostic Competition ResultsThe AI team from JF Healthcare recently achieved an average AUC score (a measure of diagnostic accuracy) of 0.926 and is currently
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Konica Minolta to Accelerate Commercialization of Dynamic Digital Radiography in US Market
Konica Minolta Healthcare Americas, Inc., a provider of medical imaging systems and healthcare IT, along with Shimadzu Medical Systems USA announced a collaborative agreement that will accelerate the commercialization of Dynamic Digital Radiography (DDR) in the US healthcare market. Konica Minolta, Inc. and Shimadzu Corporation collaborated on the development of DDR incorporating Konica Minolta's new advanced image processing and Shimadzu's RADspeed Pro radiographic imaging system.
The
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Can AI Transform Patient Care from Reactive Craft to Strategic Art?
Ori Geva, Co-founder and CEO, Medial EarlySign
Personalized Analytics is becoming essential in healthcare, stemming from the movement from fee-for-service to a value-based market. The need to preempt and prevent disease on a more personal level, rather than merely reacting to symptoms, has created a significant opportunity for machine learning-based applications. This “analytics of one” approach (using advanced mathematical models and artificial intelligence techniques) is already impacting
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