A machine learning-based model that enables medical institutions to predict the mortality risk for individual cardiac surgery patients has been developed by a Mount Sinai research team, providing a ...
Machine learning models accurately predict survival after surgery for upper tract urothelial cancer, supporting personalised follow up and adjuvant treatment decisions.
A new step in painless, cut-free brain surgery is bringing international attention to Jersey Shore University Medical Center.
Researchers at Johns Hopkins University are leveraging the power of machine learning to improve X-ray-guided pelvic fracture surgery, an operation to treat an injury commonly sustained during car ...
IEEE Spectrum on MSN
Machine learning system monitors patient pain during surgery
A camera and AI combo offers a contactless way to assess pain ...
Please provide your email address to receive an email when new articles are posted on . A machine learning-based model more accurately predicted mortality after cardiac surgery than population-based ...
A machine learning-based model that enables medical institutions to predict the mortality risk for individual cardiac surgery patients has been developed by a Mount Sinai research team, providing a ...
Announcing a new article publication for Cardiovascular Innovations and Applications journal. Cardiac surgery-associated acute kidney injury (CSA-AKI) is a major complication that increases morbidity ...
Please provide your email address to receive an email when new articles are posted on . A machine learning model may identify patients’ risk for persistent opioid use after hand surgery. Machine ...
Many organizations invest in robotic-assisted surgery. Growing and sustaining a successful service line, however, requires a comprehensive strategy and dedicated resources at a time when hospitals and ...
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