Artificial Intelligence
The New York health system has made AI and automation central to its mission, embedding algorithms into a wide array of workflows to target dozens of improvement initiatives.
Jonathan Weiner, professor at Johns Hopkins Bloomberg School of Public Health, details the data fundamentals that are necessary for effective AI and machine learning algorithms.
From genetic sequencing to symptom tracking to vaccine development, machine learning algorithms have been instrumental in helping uncover hidden clues about the novel coronavirus, says Cris Ross.
Biased algorithms are bad for patients – but with more awareness of potential AI disparities, experts say there's reason for optimism.
At the HIMSS Machine Learning and AI for Healthcare Digital Summit, experts said effective data governance requires visibility and clear ownership.
Health leaders contemplate the key features of a strong, data-driven response to a health crisis at the HIMSS & Health 2.0 Middle East Digital Event.
Financial support has been awarded to 13 projects which have digital tools and AI at the heart of their approaches.
The funding will support 15 innovative AI projects ranging from early cancer detection to clinical support and wearable medical devices.
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November 25, 2020
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November 25, 2020
Tools such as artificial intelligence and machine learning will support patient mobility, and associated data, in the future, says Sibu Siddique, VP of Digital Transformation and Customer Success at GE Digital.