What You Should Know:
– Authenticx, a top conversation intelligence platform for healthcare organizations, today announced the launch of Ava, an AI-powered in-app assistant that helps users quickly answer their most pressing business questions while serving up…
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The business world was roiled earlier this year when a finance worker in Hong Kong was duped into handing over $25.6 million (200 million Hong Kong Dollars) after he joined a video call that…
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This week at the HLTH conference in Las Vegas, FDA Commissioner Robert Califf sat down with John Brownstein, chief innovation officer at Boston Children’s Hospital, to discuss the current state of healthcare AI, as…
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What You Should Know:
– Abbott, a global healthcare leader, has announced a new clinical trial, TEAM-HF, designed to improve outcomes for patients with worsening heart failure.
– The first-of-its-kind trial will leverage AI and Abbott’s…
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Health systems that embrace artificial intelligence tools can not only improve radiology operations and quality but patient follow-up as well, which can result in greater staff efficiencies, higher patient completion rates and better access…
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What You Should Know:
– Dyania Health, an AI-powered healthcare data company, today announced the close of its $10 million Series A funding round led by HealthX Ventures with Tech Square Ventures and Cleveland Clinic Ventures,…
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The following is a guest article by Lee Jones, Chief Product Officer at Gozio Health
A 2024 McKinsey & Company survey found nearly 90% of health system executives—representing both technical roles (CIOs, CTOs) and nontechnical…
Mallika Edwards, Chief Product Officer, Xsolis
Imagine a world where a patient can visit any healthcare provider around the globe, and that provider has access to your entire health history and lifestyle habits within minutes,…
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This week at the HLTH conference in Las Vegas, healthcare leaders and investors came together to network and discuss what the future of the industry should look like. Many of the companies attending the…
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This perspective article explores how process mining can extract clinical insights from mobile health data and complement data-driven techniques like machine learning. Despite technological advances, challenges such as selection bias and the complex dynamics…
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