Collecting social determinants of health information at scale is just one challenge for providers, but training staff on how to collect that data sensitively and what they need to do next to act on…
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Therapeutic extended reality platform XRHealth announced it acquired cognitive training VR platform NeuroReality and its assets, including its main product, Koji’s Quest.Boston-based XRHealth offers a catalog of immersive medical extended reality (XR) experiences focused…
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Senior Care Leaders Should Be Aware of Common Vulnerabilities
In addition to phishing and stolen or compromised credentials, other notable causes of data breaches include misconfiguration, business email compromise, zero-day vulnerabilities, unpatched known vulnerabilities and…
TPIsoftware, a digital software company and Taipei Medical Alliance signed a memorandum of understanding (MOU) to accelerate healthcare technology and medical academia.The aim of the alliance is to enable digital transformation and AI innovation…
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Billionaire tech mogul Elon Musk this past week took to his X social media platform to request that users of his Grok artificial intelligence chatbot upload their medical images and generate a diagnosis.”Try submitting…
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Tragically, no matter how good you are at your job or how long you’ve done the job, human error is simply unavoidable. Just as many songs have stated, no one is perfect – you…
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Too often, cyber security training is a seen as a burden. But it is possible to make it relevant and useful, writes Nasser Arif
The NHS is made up of a very diverse workforce. Whether…
Periprosthetic joint infection (PJI) is a severe complication after joint replacement surgery that demands precise diagnosis for effective treatment. We enhanced PJI diagnostic accuracy through three steps: (1) developing a self-supervised PJI model with…
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Harnessing the Full Potential of AI in Healthcare Requires Carefully Prepared and Clean DataBy Brian Laberge
Brian Laberge is solutions engineer at Wolters Kluwer Health.
Artificial intelligence (AI) implementation in healthcare is gaining…
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The success of deep learning (DL) relies heavily on training data from which DL models encapsulate information. Consequently, the development and deployment of DL models expose data to potential privacy breaches, which are particularly…
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