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[Application of artificial intelligence in thoracic surgery].
D Herrmann1, M Oggiano1, E Hecker2
1Thoraxzentrum Ruhrgebiet, Klinik für Thoraxchirurgie, Evangelisches Krankenhaus, Herne, Hordeler Straße 7-9, 44651, Herne, Deutschland.
Artificial intelligence (AI) in medicine shows promise for diagnostics and treatment planning, particularly in thoracic surgery. However, widespread clinical implementation faces challenges requiring data standardization and evaluation.
Area of Science:
- Medical Informatics
- Thoracic Surgery
- Artificial Intelligence Applications
Background:
- Artificial intelligence (AI) is an emerging technology in medicine, with current applications largely focused on medical imaging analysis.
- Research into AI's potential for enhancing patient treatment is ongoing and extensive.
Purpose of the Study:
- To investigate the current and potential applications of artificial intelligence in the daily routine of thoracic surgery.
- To identify existing practices and forms of AI integration in thoracic surgical workflows.
Main Methods:
- A comprehensive literature search was conducted to identify relevant studies and applications.
- Analysis of existing research on artificial intelligence in thoracic surgery.
Main Results:
- Artificial intelligence is most effectively utilized in diagnostics and treatment planning within current capabilities.
- Standardization and evaluation of centralized data collection are crucial for comprehensive AI implementation.
- Current AI use in thoracic surgery is primarily limited to specific analytical tasks.
Conclusions:
- Promising research findings exist for AI in thoracic surgery, but practical implementation remains challenging.
- Significant hurdles exist in integrating AI tools into routine surgical practice.
- Further development in data management and standardization is needed to overcome implementation barriers.
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