Simon Johns, Director, Medical Information and Marketed Product Safety at IQVIA
The demand for accurate and timely medical information has never been greater. As healthcare providers and patients navigate an increasingly complex landscape of therapies…
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Discover how NextGen Healthcare is using AI to make a real difference for healthcare providers and their patients.In this interview, David Sides, CEO of NextGen, shares insights on how the company is deploying AI…
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The government has announced a new package of AI tools, nicknamed ‘Humphrey’ to streamline the NHS and other public services.
A team of expert AI developers from the Department for Science, Innovation and Technology (DSIT) built…
Strategic Microsoft-Apollo Partnership Launches
Apollo Hospitals’ collaboration with Microsoft marks a significant advancement in AI-powered healthcare delivery, introducing four AI copilots to enhance patient care. Microsoft’s $3 billion investment demonstrates their commitment to developing India’s…
There is a growing need to evaluate the agreement between the field methods and integrate artificial intelligence (AI) using two-dimensional (2D) photos for enhanced real-world analysis. This study evaluated the agreement between AI-2D photos…
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Creating an ontology is the essential step in natural language processing (NLP). To improve patient safety in this era of generative AI, it is crucial to develop a standards-driven, ontology-based architecture for patient safety…
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Abu Mirza, global SVP of digital products and engineering at GE HealthCare, sat down with MobiHealthNews during the JPM Healthcare Conference in San Francisco to discuss the company’s use of AI and smart technologies…
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I tell the story in the talk about a particular algorithm that is able to pick out breast cancer cells and lymph nodes – very important. The algorithm alone was about 95%—that's pretty good….
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Editor’s Note: This is part two of a two-part interview. To read part one, click here.Children’s National Hospital, in Washington, D.C., is making robust use of artificial intelligence technologies in both clinical and administrative…
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While machine learning (ML)-based solutions—often referred to as artificial intelligence (AI) solutions—have demonstrated comparable or superior performance to human experts across various healthcare applications, their vulnerability to perturbations and stability to variations due to…
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