Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...
IEEE Spectrum on MSN
Machine learning system monitors patient pain during surgery
To create their contactless approach, the researchers created a machine learning algorithm capable of analyzing aspects of ...
AI prioritizes clinical trials by identifying unmet medical needs, optimizing resource allocation, and focusing on conditions ...
For most patients, a diagnosis is just the beginning of an uncertain journey filled with long wait times, fragmented ...
The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...
AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...
Tech Xplore on MSN
Patient privacy in the age of clinical AI: Scientists investigate memorization risk
What is patient privacy for? The Hippocratic Oath, thought to be one of the earliest and most widely known medical ethics ...
Sharon Hewner, a professor at the University at Buffalo School of Nursing, PhD student Erica Smith, and alumna and UB nursing research associate professor Suzanne Sullivan, who is also an associate ...
Postpartum depression (PPD) affects up to 15 percent of individuals after childbirth. Early identification of patients at risk of PPD could improve proactive mental health support. Researchers ...
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