AUC = 0.70) compared to the fNIRS-only model." Overall, the results of this recent study highlight the potential of machine learning as a tool to explore the factors associated with how people ...
AI, when properly implemented, has the power to transform emergency medicine by enhancing patient outcomes, reducing ...
To develop a machine learning (ML) algorithm to predict survival probabilities for patients with epithelial ovarian cancer (EOC).Data were obtained from the SEER database for women diagnosed with EOC ...
An innovative machine learning model predicts the success of immune checkpoint inhibitors in cancer patients using routine blood tests and clinical data, outperforming traditional methods like tumor ...
An AI tool appeared superior to two FDA-approved biomarkers for predicting how people with cancer will respond to immune ...