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GE joins cardiologists to apply AI to cardiac care
According to the new partners, the digital transformation drivers that will impact care are a migration towards virtual care, increased remote monitoring of patients via wearables and AI-driven care.
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AI ready to help providers anticipate patient problems
A more holistic view of the patient is the key to unlocking the preventive approach to healthcare, says one stakeholder, and AI can be the tool that turns it.
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AI developers focus new tools on deadly vascular conditions
The approach being developed by researchers at the University of Western Australia could allow for more accurate diagnosis and faster reporting across all aspects of healthcare.
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ML algorithm targets COVID-related kidney condition
According to the team, the study shows the potential for machine learning algorithms to be integrated into EHR systems, which would allow for more efficient and accurate treatment.
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How “real” do data sets need to be?
The pressing need for real-world data collection can be an impediment to AI development, but emerging synthetic data may be just what the doctor ordered.
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How AI can help healthcare move beyond the pandemic
COVID-19 took a major toll on the healthcare sector, but one stakeholder sees a number of ways AI will help providers recover and become even stronger moving forward.
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Researchers unveil privacy-protecting AI for x-ray analysis
Stakeholders hope privacy-preserving AI methods can overcome ethical, legal and political obstacles, thus paving the way for widespread use of AI.
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Research and application: AI tackles diabetes from multiple directions
According to the CDC, the inability to work because of diabetes-related disability cost $37.5 billion in 2017, with absenteeism accounting for $3.3 billion and employee productivity losses costing $27 billion.
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New ML models improve risk predictability
While marginally superior to current risk models, the researchers said the new models should still be considered supplementary to other input for clinical decision-making.