Artificial intelligence-directed prognostication of breast cancer

Artificial Intelligence Approach to Breast Cancer Classification

Tree-based model for breast cancer prognostication.

PURPOSE To define prognostic groups for recurrence-free survival in breast cancer, assess relative effects of prognostic factors, and examine the influence of treatment variations on recurrence-free survival in patients with similar prognostic-factor profiles. PATIENTS AND METHODS We analyzed 1,055 patients diagnosed with stage I-III breast cancer between 1990 and 1996. Variables studied incl...

Artificial Intelligence for Artificial Artificial Intelligence

Crowdsourcing platforms such as Amazon Mechanical Turk have become popular for a wide variety of human intelligence tasks; however, quality control continues to be a significant challenge. Recently, we propose TURKONTROL, a theoretical model based on POMDPs to optimize iterative, crowdsourced workflows. However, they neither describe how to learn the model parameters, nor show its effectiveness...

Breast cancer prognostication and prediction: are we making progress?

Currently, much effort is being invested in the identification of new, accurate prognostic and predictive factors in breast cancer. Prognostic factors assess the patient's risk of relapse based on indicators such as intrinsic tumor biology and disease stage at diagnosis, and are traditionally used to identify patients who can be spared unnecessary adjuvant therapy based only on the risk of rela...

Image quality improvement of diffuse optical tomography of breast tumor using artificial intelligence

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