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How AI could spur rapid growth in emerging surgical centers
As ambulatory surgery center (ASC) executives ponder their HIT investments, they should consider how AI could benefit their business operations both now and in the long run.
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Study parses patient transcripts to improve palliative care communication
Among other things, a deeper understanding of palliative conversations will also help reveal what aspects of these conversations are most valuable for patients and their families.
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VA increases AI R&D efforts with launch of new institute
Among other initiatives, the NAII is helping VA build AI R&D capacity from basic to clinical research with the goal of training a new generation of AI scientists, practitioners, and clinicians to promote the health and well-being of veterans.
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Cleveland Clinic research aims AI at spinal care decisions
According to researchers, AI in spine care has great potential to promote standardization of practice around high-quality care as well as more standardized resource utilization in what is often a complex diagnosis and research protocol.
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AI targets esophageal cancer with enhanced image analysis technique
The new machine learning methods promise to accurately identify cancerous esophagus tissue on microscopy images more quickly than current time-consuming manual data input methods.
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How High-Tech Tools Have Fast-Tracked Cancer Research
To reduce the lag in cancer drug development, new-generation tools are equipping physicians with faster and more comprehensive access to the latest oncology research developments, saving precious time and resources.
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Outpatient Cancer Care: New Advances for Patients and Providers
Aiming for comparable treatments with higher patient satisfaction, a variety of oncology clinic types are overcoming traditional limitations by utilizing data and state-of-the-art advancements to shift inpatient procedures into outpatient settings.
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AI brings researchers closer to eye disease treatment
Researchers have successfully used AI to ramp up the identification and manufacture of stem cells for patients with age-related macular degeneration.
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Researchers tap AI to help predict epileptic seizures
In order to achieve the desired high accuracy with early prediction time, said one of the researchers, the AI model will need to be trained on each epilepsy patient.