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Informatics team outlines specific use cases for AI in radiology
Given the abundance of digital healthcare data currently available, properly organizing it has become a top priority for modern researchers seeking to use it to enhance research efforts using new AI.
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Revenue management provider adds AI start-up to enhance services
The start-up deploys real-time analytics and machine learning to automatically check for new cases and ease the payment process for its clients.
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Pharma researchers turn to AI for efficiencies and insight
Like other healthcare stakeholders, the biopharmaceutical industry is trying to apply AI and machine learning to help with R&D decision-making.
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5G will transform healthcare
The impact of 5G wireless networks cannot be overstated. An ultra-fast wireless technology — up to 100 times faster than current cellular connections, faster than even physical fiber optic cable — 5G represents a major change, especially for data-intensive applications such as digital imaging.
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How many ways will AI change healthcare?
There’s no question AI is going to change healthcare, including in employment patterns, but what’s very open is the question of when and where that change is most likely to happen.
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How developers can guide the orderly spread of healthcare AI
If the implementation science community is to facilitate the adoption of machine learning across healthcare, a team of researchers writes, issues such as privacy and algorithmic bias will need to be addressed.
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Topol touts AI for a bright future for healthcare
Among other things, says the renowned cardiologist and tech proponent, AI will help revive the patient-doctor relationship that “we all were a part of 30, 40-plus years ago.”
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Survey: consumers still slow to trust AI in healthcare
From an AI standpoint, it’s critical for healthcare stakeholders to assure patients of the opportunity for human connection.
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AI helps researchers identify cancer-fighting foods
Recent advances in AI technologies, coupled with the explosive growth of large-scale multi-source data on food, drugs and diseases, offer a unique opportunity to identify molecules within foods to potentially prevent or fight disease phenotypes.