The Role of Artificial Intelligence in Early Cancer Diagnosis
Royal Marsden NHS Foundation Trust · Imperial College London
Abstract
Improving the proportion of patients diagnosed with early-stage cancer is a key priority of the World Health Organisation. In many tumour groups, screening programmes have led to improvements in survival, but patient selection and risk stratification are key challenges. In addition, there are concerns about limited diagnostic workforces, particularly in light of the COVID-19 pandemic, placing a strain on pathology and radiology services. In this review, we discuss how artificial intelligence algorithms could assist clinicians in (1) screening asymptomatic patients at risk of cancer, (2) investigating and triaging symptomatic patients, and (3) more effectively diagnosing cancer recurrence. We provide an…
Citation impact
- FWCI
- 43.12
- Percentile
- 100%
- References
- 160
Authors
3Topics & keywords
- Artificial intelligence
- Medicine
- Computer science
- Data science
- Intensive care medicine