February brought lots of news in digital health. Some of them aren't that exciting since companies continue laying off their employees but hopefully, soon this trend will go down. Here is some more positive…
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Patients whose blood cancer advances after initial treatments have one last therapeutic option: the engineering of their immune cells into a living medicine. But cancer is crafty and it often finds a way to…
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Ambience AutoScribe technology, custom-built for medicine, works in real time without human scribes
Providers using the technology reduce their documentation time by 76% on average
Company backed by top-tier investors including Andreessen Horowitz, Human Capital, Kleiner…
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The Sequoia Project, a non-profit for nationwide health interoperability, has added four new members to its board of directors, including representatives from EHR vendor OneRecord and the Department of Defense (DoD). The new board…
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Vietnamese healthcare AI developer VinBrain has started a new partnership with Stanford University to enhance AI medical imaging.Based on their latest data use agreement, Stanford will initially provide VinBrain access to about 240,000 anonymised medical images and reports to train and test the AI on its DrAid clinical decision support platform while also helping improve the accuracy of an information extracting method for structuring radiology reports called RadGraph.
WHY IT MATTERS
According to VinBrain, its latest partnership with Stanford aims to enhance efficiency in radiology reports while “tackling complexity, ambiguity, and limitations in medical image interpretation.”
Through Stanford’s support, the company will be able…
Iman Abuzeid, MD, CEO & Co-Founder of Incredible Health, on helping healthcare workers find and do their best workSubscribe for your weekly fix of health tech stories, wherever you get your news: Apple, Spotify, or Twitter.Iman…
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Machine learning and artificial intelligence hold the potential to transform healthcare and open up a world of incredible promise. But we will never realize the potential of these technologies unless all stakeholders have basic competencies in both healthcare and machine learning concepts and principles.
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By John Halamka and Paul Cerrato -Three patient populations are underrepresented in the AI models currently being developed. There are several practical solutions to the problem.
The post The Algorithmically Underserved Need Our Attention appeared first on Mayo Clinic Platform….
Artificial intelligence (AI) has transformed industries around the world, and has the potential to radically alter the field of healthcare. Imagine being able to analyze data on patient visits to the clinic, medications prescribed, lab tests, and procedures performed, as well as data outside the health system — such as social media, purchases made using credit cards, census records, Internet search activity logs that contain valuable health information, and you’ll get a sense of how AI could transform patient care and diagnoses.
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