The study demonstrates that machine learning can achieve high performance on a challenging image classification task and has the potential to greatly assist pathologists in lung cancer classification.

Machine learning (ML) has the potential to transform oncology and, more broadly, medicine. 1 The introduction of ML in health care has been enabled by the digitization of patient data, including the ...

Modeling frameworks exploit either canonical statistical approaches or artificial intelligence (AI) using machine learning (ML) classification algorithms. Prediction models have been explored using ...

Researchers discuss the development and validation of a combined model for the early diagnosis of lung cancer.

Researchers review the application of machine learning in improving cancer diagnosis, treatment, and prognosis.

A Michigan Tech-developed machine learning model uses probability to more accurately classify breast cancer shown in histopathology images and evaluate the uncertainty of its predictions.