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AI tool can predict which trauma patients need blood transfusions before they reach the hospital
Severe bleeding is one of the most common and preventable causes of death after traumatic injury, yet currently available ...
EDN announces this year’s winners of the Electronic Products Product of the Year Awards, selected by the editors.
Faraz Ahmad, MD, and Marie-Noelle Langan, MD, discuss the role of artificial intelligence (AI) for cardiac care within healthcare systems.
A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
Researchers at University of Jyväskylä (Finland) advance understanding of gold nanocluster behavior at elevated temperatures ...
Cardiovascular disease continues to be the leading cause of death worldwide. To save lives, constantly improving diagnostic ...
New AI model decodes brain signals captured noninvasively via EEG opens the possibility of developing future neuroprosthetics ...
News-Medical.Net on MSN
AI-enabled stethoscope doubles detection of valvular heart disease
New research shows that the use of an AI-enabled digital stethoscope more than doubled the identification of moderate to severe valvular heart disease during routine clinical examinations, compared to ...
A machine learning model trained on EEG data from patients recovering from strokes helps predict how new patients will regain ...
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