Author Interviews, Lung Cancer, Nature, NYU, Technology / 17.09.2018
Artificial Intelligence Can Reliably Diagnosis Specific Types of Lung Cancer
MedicalResearch.com Interview with:
Aristotelis Tsirigos, Ph.D.
Associate Professor of Pathology
Director, Applied Bioinformatics Laboratories
New York University School of Medicine
MedicalResearch.com: What is the background for this study? What are the main findings?
Response: Pathologists routinely examine slides made from tumor samples to diagnose cancer types. We studied whether an AI algorithm can achieve the same task with high accuracy. Indeed, we show that such an algorithm can achieve an accuracy of ~97%, slightly better than individual pathologists.
In addition, we demonstrated that AI can be used to predict genes that are mutated in these tumors, a task that pathologists cannot do. Although the accuracy for some genes is as high as 86%, there is still room for improvement. This will come from collecting more training data and also from improvement in the annotations of the slides by expert pathologists.
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