Explore AI’s data challenges in healthcare with Ryan Sousa, VP of Data and Analytics/AI at Pivot Point Consulting. With decades of experience, including leadership roles at Amazon and Nokia-acquired startups, he discusses AI’s data…
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At the HIMSS 2023 conference we sat down with Ray Gensinger, a healthcare IT expert from Tegria. In this interview, Ray discusses the trend that has captivated the industry—artificial intelligence (AI) and generative AI….
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The past year has been filled with rapid advancements in generative AI, which refers to AI that can produce content like text, imagery and audio. While the healthcare sector has a reputation of being…
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Artificial intelligence is an alluring—or frightening—reality, depending on your point of view.
There are those who fear their job will be eliminated by machine learning and innovative computer systems, while others hope the computer wizardry…
Suchi Saria, CEO of Bayesian Health and Associate Professor of Medicine, Johns Hopkins University
It’s hard to get away from the topic of large language models, chatGPT and more broadly, artificial intelligence in healthcare. It’s…
Now that large language models (LLMs) are the hottest new category of AI to enter the healthcare world, stakeholders are watching closely to see how providers will embed these tools into their workflows and…
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Thanks to widely available tools such as ChatGPT, generative artificial intelligence is cropping up in use cases applicable to nearly every segment, including healthcare. While this level of automation presents impressive opportunities to streamline…
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Last April, Northwell Health, the largest health system in New York, teamed up with startup studio Aegis Ventures to create a healthcare AI company creation platform called Ascertain. Flash forward to May 2023, and…
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The AIMed Global Summit 2023 in San Diego, California, will bring together healthcare leaders to explore the application of artificial intelligence (AI) in healthcare. With comprehensive program tracks, over 200 speakers, keynotes, and networking…
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Data-driven medical care delivery must always respect patient privacy—a requirement that is not easily met. This issue has impeded improvements to healthcare software and has delayed the long-predicted prevalence of artificial intelligence in healthcare….
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