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Seeing thyroid cancer in a new light: When AI meets label-free imaging in the operating room
Thyroid cancer is the most common endocrine cancer, affecting more people each year as detection rates continue to rise.
Thyroid cancer is the most common endocrine cancer, affecting more people each year as detection rates continue to rise.
The procedure is based around dynamic optical contrast microscopy (DOCI), a technique in development at UCLA since 2016. It ...
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AI trained on sleep data predicts future disease and mortality years in advance
The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...
The integration of artificial intelligence (AI) with imaging has emerged as a transformative force in the field of oral oncology. Oral cancer remains a ...
There are no established treatment options for patients with meningioma recurring after surgery and radiotherapy.
News-Medical.Net on MSN
Global analysis uses machine learning to map drivers of cancer outcomes
For the first time, researchers have used machine learning – a type of artificial intelligence (AI) – to identify the most important drivers of cancer survival in nearly all the countries in the world ...
A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.
BiLSTM, an ICD-11 automatic coding model using MC-BERT and label attention. Experiments on clinical records show 83.86% ...
Researchers at the University of California, Los Angeles (UCLA), in collaboration with pathologists from Hadassah Hebrew ...
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