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Evolving and Novel Applications of Artificial Intelligence in Thoracic Imaging
Jin Y Chang1, Mina S Makary1,2
1Department of Radiology, The Ohio State University College of Medicine, Columbus, OH 43210, USA.
Diagnostics (Basel, Switzerland)
|July 13, 2024
Summary
Artificial intelligence (AI) is transforming thoracic radiology by improving diagnostics, workflow, and procedures. Challenges include data needs, ethics, and bias, but future applications show great promise.
Area of Science:
- Radiology
- Medical Imaging
- Artificial Intelligence
Background:
- Artificial intelligence (AI) is increasingly impacting medical fields, especially radiology.
- Thoracic imaging is crucial due to the high prevalence of chest imaging and thoracic diseases.
Purpose of the Study:
- To review the applications of AI in thoracic imaging.
- To discuss AI's role in diagnosis, workflow enhancement, and invasive procedures.
- To identify current challenges and future directions for AI in thoracic radiology.
Main Methods:
- Review of current literature on AI in thoracic imaging.
- Analysis of AI's impact on diagnostic evaluation and interpretation.
- Examination of AI's role in workflow optimization and procedural assistance.
Main Results:
- AI demonstrates improved performance and versatile utility in clinical settings.
- AI contributes to enhanced diagnostic accuracy and efficiency.
- AI aids in streamlining workflows and supporting invasive procedures.
Conclusions:
- AI offers significant potential to advance thoracic radiology.
- Addressing challenges like data requirements, ethical concerns, and bias is crucial for AI implementation.
- Future research should focus on the expanding applications of AI in this field.
