To retrospectively assess the effectiveness of deep learning (DL) model, based on breast magnetic resonance imaging (MRI), in predicting preoperative lymphovascular invasion (LVI) status in patients ...
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How patients speak may signal cognitive impairment
Doctor-patient conversations hold clues to brain health ...
Population screening of asymptomatic persons with Epstein–Barr virus (EBV) DNA or antibodies has improved the diagnosis of nasopharyngeal carcinoma and survival among affected persons. However, the ...
Predictive cytokine biomarkers for immune-related adverse events associated with immune checkpoint inhibitor therapy in Hodgkin lymphoma. Biomarkers Specificity (95% CI) Positive Likelihood Ratio (95% ...
Investigators evaluated an AI-based trial-matching system that harnesses real-world data from patients with cancer to determine criterion- and patient-level trial eligibility.
Today, artificial intelligence is being used across healthcare for administrative tasks, such as improving medical coding, and for certain clinical use cases, such as enhancing radiologists' reviews ...
This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. A surprisingly easy way to multiply an AI model’s profit is to drive decisions via expected ...
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