Patient Care

This page includes news coverage of various aspects of patient healthcare, including new technology innovations, what is working, what is not, personalized medicine and remote and telemedicine delivery. Find specific news in the areas of Care DeliveryDigital TransformationPrecision MedicineRemote Monitoring and Telehealth.

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How will AI affect the future of psychiatry?

Psychiatrists are skeptical AI will have a significant impact on the way mental health is treated around the world, according to new survey results published in Artificial Intelligence in Medicine.

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Google’s AI outperforms humans in detecting breast cancer

Google’s DeepMind AI system is better at detecting breast cancer than human experts, according to a new study published in Nature.

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5 things to remember when researching AI and radiology

AI continues to be one of the hottest topics in all of healthcare, especially radiology, and more academic researchers are exploring the subject than ever before.

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Affidea, Subtle Medical bring AI collaboration to Italy

Affidea, a European healthcare provider with more than 240 locations, announced it is now implementing Subtle Medical’s SubtlePET solution in its PET-CT center in Italy.

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Google's AI model outperforms radiologists in breast cancer detection, prediction

Deep-learning based AI models can identify breast cancer more accurately than radiologists, according to new research published in Nature. What does this mean for the future of cancer detection?

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Looking back: 10 key AI in Healthcare stories from 2019

AI in Healthcare spent 2019 tracking the steady evolution of AI and other advanced technologies, paying close attention to how they could change patient care forever. We’ve gathered 10 of the site’s most popular—and compelling—articles from the past 12 months.

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Certified EHRs have some patient safety issues

Electronic medical record products may have patient safety issues––even if they’re certified, according to a new study published in JAMA.

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AI-powered risk score IDs patients at risk of stroke

Researchers have had limited success developing a genomic risk score (GRS) that can predict stroke. Could machine learning be the answer?