Aim To understand whether the risk of complications following paediatric cardiac surgery differs according to a child’s ...
Kester Verdadero, Divisional Director for Surgical Services at The George Washington University Hospital (GW Hospital). Here, he discusses the surgical options at the hospital, including minimally ...
Discover 10 AI-proof healthcare careers that will remain secure as AI transforms helathcare, including roles that rely on ...
Outpatient spine surgery is accelerating, and physicians are planning for what the landscape will look like by 2030. Here’s how five spine surgeons are approaching the outpatient boom. Editor’s note: ...
Shayla Bergmann, MD, explains that recombinant von Willebrand factor is both safe and highly effective in controlling ...
Outpatient spine surgery is accelerating, and physicians are planning for what the landscape will look like by 2030. Here’s how five spine surgeons are approaching the outpatient boom. Ask Spine ...
Researchers at Thomas Jefferson University have developed an automated machine learning (AutoML) model that can accurately ...
ASCs are seeing a surge in colonoscopy demand as CRC rates rise, especially among adults under 50. Updated screening guidelines that lowered the recommended starting age from 50 to 45 have added ...
December 02, 2025 – PRESSADVANTAGE – The European Institute of Plastic Surgery (EIPS) has announced the expansion of abdominoplasty services in Nicosia, introducing comprehensive abdominal contouring ...
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Cheap Drug During High-Risk Surgery Reduces Blood Transfusions
TXA is an inexpensive (approximately $3 per gram) and widely available antifibrinolytic medication with an established safety ...
The 920M pavilion reshaping care at University of Michigan Health adds capacity and improves clinical efficiency for long-term financial strength.
New artificial intelligence tool shows promise in accurately diagnosing brain tumors without surgery
Researchers at Thomas Jefferson University have developed a groundbreaking automated machine learning (AutoML) model that can accurately differentiate between two common types of brain tumors using ...
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