Distributed collaborative learning is a promising approach for building predictive models for privacy-sensitive biomedical images. Here, several data owners (clients) train a joint model without sharing their original data. However, concealed systematic biases can…
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BOSTON – The ability to change how healthcare providers communicate with patients with artificial intelligence isn’t just about accuracy, transparency, fairness and data model maintenance, it’s figuring out how to meet personalization challenges.What patients want…
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Theresa Hush CEO, Co-Founder at Roji Health Intelligence
For ACOs to remain relevant as leaders of Value-Based payment models, they must step up now to generate more cost savings for Medicare patient care. Budget cuts…
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The application of artificial intelligence (AI) algorithms to 12-lead electrocardiogram (ECG) provides promising age prediction models. We explored whether the gap between the pre-procedural AI-ECG age and chronological age can predict atrial fibrillation (AF)…
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What You Should Know:
– Rune Labs, a leading precision neurology software and data company has announced a significant advancement in its StrivePD app.
– The new StrivePD-AI feature leverages generative artificial intelligence (GenAI) to provide…
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Ritwik Batabyal, Chief Technology and Innovation Officer at Mastek at Mastek
The traditional fee-for-service healthcare model, which reimburses providers based solely on the quantity of services delivered, is undergoing a much-needed transformation. The choice now…
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Mike White, Principal, Alexander Group
The healthcare industry rose to the occasion at the outset of global healthcare challenges beginning in 2020. Around the world, hospitals, outpatient facilities, MedTech organizations, and research firms embraced digital…
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Congenital long QT syndrome (LQTS) diagnosis is complicated by limited genetic testing at scale, low prevalence, and normal QT corrected interval in patients with high-risk genotypes. We developed a deep learning approach combining electrocardiogram…
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Clostridioides difficile infection (CDI) is a major cause of antibiotic-associated diarrhea and colitis. It is recognized as one of the most significant hospital-acquired infections. Although CDI can develop severe complications and spores of Clostridioides…
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Radiological imaging is a globally prevalent diagnostic method, yet the free text contained in radiology reports is not frequently used for secondary purposes. Natural Language Processing can provide structured data retrieved from these reports….
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