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Research team pitches expanded, privacy-preserving machine learning
To prevent patient privacy compromise while promoting scientific research, says a team of academics, requires both greater data protection and greater data utilization.
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Survey: 1/3 of healthcare orgs using AI in imaging
AI has the potential to transform medical imaging, say providers, saving them time and effort when diagnosing and treating patients.
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UC San Francisco turns key on new AI-driven imaging research lab
The Center for Intelligent Imaging, or ci2, aims to revolutionize the way in which imaging is performed, interpreted and used to direct care for patients.
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Radiologists point to need for ethical guidelines on AI
According to stakeholders, radiologists remain ultimately responsible for patient care and will need to acquire new skills to do their best for patients in the new AI ecosystem.
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Study finds AI matches humans in analyzing images
For future studies, researchers recommended using deep learning systems in clinical trials to assess whether patient outcomes improved compared with current practices.
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How AI and Deep Learning Are Revolutionizing Medical Imaging
From reducing ophthalmologists' false positives to classifying skin lesions as accurately as an experienced radiologist, deep learning is already making a deep impact in medical imaging.
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The Future is Now: Imaging in 2030 and Beyond
Meet Sophie, a woman whose technologically advanced care pathway as a breast cancer patient 11 years from now gives a glimpse of what the future may hold for digital imaging.
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Radiology center beefs up patient communication system with new AI tools
What good is the efficient use of radiology in patient diagnosis if patients aren’t able to get follow-up care in a timely fashion?
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The impact of open-source image datasets
Data is often inaccessible in healthcare settings, due to a variety of patient privacy laws and institutional policies. To address this obstacle and make data-sharing easier, several open-source projects have emerged.