What You Should Know:
Cardiologs announced today that the FDA has cleared their algorithm to be used for the pediatric population - younger than 18. Their technology can now analyze ECG readings for atrial arrhythmias across all age groups.
Cardiologs, a medical technology company committed to transforming cardiac diagnostics using medical-grade artificial intelligence and cloud technology, announced that it has received 510(k) clearance from the U.S. Food and Drug Administration (FDA)
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Healthcare Algorithms | News, Analysis, Insights - HIT Consultant
Sentara Healthcare Taps Sensyne to Deploy Clinical Algorithms for CKD & CHF
What You Should Know:
- Sentara Healthcare, a health system in NC and VA, just partnered with Sensyne Health to drive clinical research with ethical AI.
- As part of a collaboration agreement, Sentara also becomes the first of several U.S. health systems that will partner with Sensyne to implement new clinical algorithms to support patients with CKD and CHF. The agreement will enable the ethical application of clinical AI research by Sensyne through analyzing Sentara’s patient dataset to
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Medtronic Awarded FDA Clearance for 2 AI Algorithms for Cardiac Monitoring
What You Should Know:
- Medtronic announced U.S. Food and Drug Administration (FDA) clearance for two AccuRhythm™ AI algorithms for use with the LINQ II™ insertable cardiac monitor (ICM) – and the presentation of AccuRhythm AI validation data this week at Heart Rhythm 2021.
- AccuRhythm AI applies artificial intelligence (AI) to heart rhythm event data collected by LINQ II, improving the accuracy of information physicians receive so they can better diagnose and treat abnormal heart
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Komodo Health Launches Next-Gen AI to Accelerate Innovation and Close Gaps in Care
What You Should Know:
- Today, Komodo Health is capping off a month-long flurry of activity by announcing the launch of its Prism and Sentinel solutions — opening up access to its Healthcare Map to drive the next generation of AI innovation.
- Prism and Sentinel allows life sciences teams to tap into detailed patient behaviors and treatment patterns based on the real-world patient journeys of more than 325 million patients. The breakthrough software also allows life sciences teams to
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3 Barriers Stalling AI Adoption in Revenue Cycle Management
AI technology is quickly evolving and already surpassing human decision-making in certain instances; sometimes, in ways, we can’t explain. While many are alarmed by this, AI is producing some of the most effective and dramatic results in business today.
Adoption of AI in healthcare is growing, but there are still barriers to overcome
AI can be defined in many ways but, broadly, it is the ability of a machine to perform cognitive functions we associate with human minds, such as
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Why Families Need the Closure Whole Genome Sequencing Provides
For medical practitioners expertly trained in the scientific methods of discovery, having a young patient with serious health complications from an undiagnosed condition is about as somber and frustrating as it gets. These feelings are only magnified for parents of the patient, especially when searching for a diagnosis can go on for years. This is the essence of what is known as the “diagnostic odyssey.”
Honing in on a rare disease diagnosis involves thorough medical history evaluations,
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AKASA Raises $60M to Automate Revenue Cycle Operations for Health Systems
What You Should Know:
- AKASA (formerly known as Alpha Health), a South San Francisco, CA-based Unified Automation™ company for revenue cycle management in healthcare, announced it has raised $60 million in its series B round of funding.
- Founded in 2018, AKASA uses the same machine learning approaches that made driverless cars possible to provide health systems with a single solution for automating revenue cycle operations. AKASA’s unique expert-in-the-loop approach combines modern
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Yale New Haven Health Deploys Virtual Clinic for Pediatric Patients with Diabetes
What You Should Know:
- After taking part in proving the clinical benefit of using AI-based decision support tools, as was recently published in Nature Medicine, Yale New Haven Health System and DreaMed Diabetes announced a collaboration that will explore what it would take to adopt such a solution into a real-world health system.
- As part of the collaboration, Yale New Haven will utilize DreaMed’s Advisor Pro platform to create a virtual clinic, this real-world evaluation will assess the
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Data-Driven Future: Impact of Machine Learning on Diabetes Management
“Information technology and business are becoming inextricably interwoven. I don't think anybody can talk meaningfully about one without the talking about the other” – Bill Gates wrote this in 1999 and, nowadays, the same can certainly be said about information technology and healthcare.
The ability to collect, analyze, and use data is becoming ubiquitous with many of healthcare’s most exciting advancements. Whether it’s Google’s DeepMind using artificial intelligence (AI) to help
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Seed Health Acquires Auggi’s Stool Recognition AI Tech & Algorithms
What You Should Know:
- Seed Healthv, a microbial sciences company, announced the acquisition of Auggi, a digital health company with a suite of artificial intelligence and machine learning technologies to track and analyze digestive health.
- As part of the acquisition, Seed Health will acquire Auggi's technology assets, including its AI algorithm for real-time Bristol stool typing, the world's largest stool image database, and a mobile monitoring application for clinical research.
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