A century ago, X-rays transformed medicine forever. For the first time, doctors could see inside the human body, without invasive surgeries. The technology was so revolutionary that in the last 100 years, radiology departments have become a staple of modern hospitals, routinely used across medical disciplines. Today, new technology is once again radically reshaping medicine: artificial intelligence (AI). Like the X-ray before it, AI gives clinicians the ability to see the unseen and has
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Radiology | Medical Imaging | News, Insights, Analysis - HIT Consultant
2020’s Top 20 Digital Health M&A Deals Totaled $50B
Teladoc Health and Livongo Merge The combination of Teladoc Health and Livongo creates a
global leader in consumer-centered virtual care. The combined company is
positioned to execute quantified opportunities to drive revenue synergies of
$100 million by the end of the second year following the close, reaching $500
million on a run-rate basis by 2025. Price: $18.5B in value based on each share of Livongo
will be exchanged for 0.5920x shares of Teladoc Health plus cash consideration
of
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AI Algorithms Can Predict Outcomes of COVID-19 Patients with Mild Symptoms in ER
What You Should Know: - Artificial intelligence algorithms can predict outcomes
of COVID-19 patients with mild symptoms in emergency rooms, according to recent
research findings published in Radiology: Artificial Intelligence journal. - Researchers trained the algorithm from data on 338
positive COVID-19 patients between the ages of 21 and 50 by using diverse
patient data from emergency departments within Mount Sinai Health System
hospitals (The Mount Sinai Hospital in Manhattan, Mount
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GE Healthcare Unveils First X-Ray AI Algorithm to Assess ETT Placement for COVID-19 Patients
What You Should Know: - GE Healthcare announced a new artificial intelligence
(AI) algorithm to help clinicians assess Endotracheal Tube (ETT) placements, a
necessary and important step when ventilating critically ill COVID-19 patients. - The AI solution is one of five included in GE Healthcare’s Critical Care Suite 2.0, an industry-first collection of AI algorithms embedded on a mobile x-ray device for automated measurements, case prioritization, and quality control. GE Healthcare
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Providence Taps Nuance to Develop AI-Powered Integrated Clinical Intelligence
What You Should Know: - Nuance Communications, Inc. and one of the country’s
largest health systems, Providence, announced a strategic collaboration,
supported by Microsoft, dedicated to creating better patient experiences and ease
clinician burden. - The collaboration centers around Providence harnessing
Nuance’s AI-powered solutions to securely and automatically capture
patient-clinician conversations. - As part of the expanded partnership, Nuance and
Providence will jointly
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Mobile Point-of-Care Ultrasound Is Now A Frontline Warrior in Pandemic
Health authorities need to prioritize delivery and the repurposing of mobile point-of-care ultrasound machines which have proven to be reliable, affordable, and effective in saving the lives of coronavirus patients. Most Americans are familiar with ultrasound technology from the scans done to check on the status of the fetus during pregnancy. But far fewer are aware of how valuable mobile versions of these units have also become in America’s emergency rooms where they almost
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Will Nanox Disrupt The X-Ray Systems Market?
With its share price falling from more than $66 to less than $24, September was a tumultuous month for Nanox. On August 25th, the medical imaging start-up closed its initial public offering, having raised $190m from the sale of 10,555,556 ordinary shares at a price of $18 each. Money poured in as investors were sold on Nanox’s cold cathode x-ray source and the subsequent reduction in costs that it would enable, as well as the vendor’s pay-per-scan pricing model that would let the company
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Making the Case: Why Pagers and Smartphones Should Wed
Clinicians in healthcare settings typically have information coming at them from all directions, at all times, and often with little distinction as to the level of urgency. It makes for inefficiency and confusion for today’s busy doctor. In today’s hospital setting, that disjointed communication creates dissonance and distraction. Even though the world has gravitated to the ubiquitous use of smartphones, that’s not the dominant form of connection for physicians. The vast majority of hospitals
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Thriving in a Value-Based Care Environment: Impacting Outcome-to-Cost Ratio
As the COVID-19 pandemic creates surges in acute care, many imaging departments are experiencing a decrease in volume, due to patients deferring or canceling non-urgent appointments and surgeries. The impact of this makes it painfully obvious that -- because imaging departments rely on a fee-for-service model – when the volume is down, finances suffer. As an aspect of healthcare that has historically been hyper-focused on volume, adoption of a value-based care approach in radiology has evolved
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AWS, PHDA Collaborate to Develop Breast Cancer Screening and Depression Machine Learning Models
What You Should Know: - Amazon Web Services (AWS) and the Pittsburgh Health Data Alliance (PHDA) announce a collaboration to produce more accurate machine learning models for breast cancer screening and depression. - In work funded through the PHDA-AWS collaboration, a research team led by Shandong Wu, an associate professor at the University of Pittsburgh Department of Radiology, is using deep-learning systems to analyze mammograms in order to predict the short‐term risk of developing
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