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Artificial intelligence in lung cancer: from diagnosis to therapy
Yongsheng Wang1, Liyun Miao1, Caicun Zhou2
1Department of Respiratory Medicines, Nanjing Drum Tower Hospital affiliated to Medical School of Nanjing University, Nanjing.
Purpose Of Review:
This review focuses on the current role of artificial intelligence (AI) in lung cancer screening, diagnosis and therapy. We also highlight its strengths in improving the accuracy and efficiency of these processes.
Recent Findings:
We evaluate AI's potential in lung cancer screening and prevention, which involves lung nodules detection and differentiation, risk classification and monitoring, and even combination with liquid biopsy in early detection. Additionally, AI's value in patients' selection and treatment planning during surgery, radiotherapy and systemic therapy has been demonstrated. Ultimately, AI's capability in predicting clinical outcomes and toxicities helps in making more informed decisions regarding treatment strategies.
Summary:
Artificial intelligence demonstrates great potential in lung cancer management. Although there are limitations to AI and challenges remain, AI based interventions will play a key role in lung cancer management in future.
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