How Machine Learning Addresses Ancestral Bias
The risk of bias in artificial intelligence has been extensively documented, but a groundbreaking new tool is poised to transform genetic research by addressing critical ancestral bias in datasets….
What You Should Know:
– GE HealthCare has unveiled Invenia™ Automated Breast Ultrasound (ABUS) Premium, a cutting-edge 3D ultrasound system designed to revolutionize breast cancer screening for women with dense breast tissue.
– The technology integrates…
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What You Should Know:
– John Snow Labs, the AI for healthcare company launches Medical LLM Reasoner, the first commercially available healthcare-specific reasoning large language model (LLM).
– The LLM model represents a significant leap forward…
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What You Should Know:
– Cylinder, a virtual digestive health provider announced its acquisition of Dieta Health, creator of the first clinically validated AI-powered stool imaging app. Financial details of the acquisition were not disclosed.
– This…
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Healthcare organizations rely on many core applications to keep operations running, including electronic health record systems, customer relationship management tools and enterprise resource planning solutions, to name a few.
They’ve made a significant investment in…
Before it began making use of artificial intelligence applications, Jefferson Einstein, part of the Jefferson Health health system, faced a growing challenge in managing acute pulmonary embolism cases.THE CHALLENGE
Rising imaging volumes and manual workflows…
Digital pathways extend conventional connections between social and biological factors and health outcomes, significantly influencing health equity. Data representation bias and distribution shifts are key mechanisms through which determinants of health impact generalizability of…
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Ed Glynn, MD, MBA, FAAFP, Chief Clinical Officer at RhythmX AI
Primary care physicians struggle to process a novel’s worth of data on each of their patients, every day, under stressful conditions. As healthcare invests…
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Hospitals are poised to spend billions on AI in the coming years, but many remain ill-prepared to gauge the true return they are getting from these investments.
Health system leaders say they are still figuring…
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Many healthcare organizations have already implemented artificial intelligence tools, while others are considering which AI use cases will bring the greatest ROI. However, rather than rushing into AI adoption, healthcare IT leaders should first…
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