Diagnostic classification of cancer using DNA microarrays and artificial intelligence.
The application of artificial intelligence (AI) to microarray data has been receiving much attention in recent years because of the possibility of automated diagnosis in the near future. Studies have been published predicting tumor type, estrogen receptor status, and prognosis using a variety of AI algorithms. The performance of intelligent computing decisions based on gene expression signatures is in some cases comparable to or better than the current clinical decision schemas. The goal of these tools is not to make clinicians obsolete, but rather to give clinicians one more tool in their armamentarium to accurately diagnose and hence better treat cancer patients. Several such applications are summarized in this chapter, and some of the common pitfalls are noted.
Greer
Braden T
BT
Advanced Technology Center, National Cancer Institute, National Institutes of Health, Gaithersburg, MD 20877, USA.
Khan
Javed
J
D001185:Artificial Intelligence; D006801:Humans; D009369:Neoplasms / Q000145:classification* / Q000175:diagnosis* / Q000235:genetics; D016571:Neural Networks, Computer; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*