[Application of artificial intelligence in thoracic surgery]

Abstract

Background: The application of artificial intelligence is a relatively new option to enable improved patient treatment in modern medicine and is therefore currently the focus of many research projects. In the clinical practice the application of artificial intelligence so far seems to be confined to the analysis of medical imaging.

Objective: In which form is the use of artificial intelligence possible in routine daily work in thoracic surgery and is already being practiced?

Material and methods: A search of the currently available literature was performed.

Results: Under current conditions artificial intelligence can best be used as part of diagnostics and treatment planning; however, in order to enable a comprehensive use standardization and evaluation of the centralized data collection are necessary.

Conclusion: At the present time promising study results are available but the implementation into the surgical routine has so far been very difficult.

Keywords: Artificial neural network; Computer-aided diagnostics; Deep learning; Machine learning; Non-small cell lung cancer.