Artificial intelligence-enabled liquid biopsy in cancer: a systematic review and meta-analysis of diagnostic performance and biological implications.
Deep learning liquid biopsies outperform traditional methods for cancer detection across multiple cancer types in this systematic review.
Sisca et al. conducted a systematic review and meta-analysis of AI-enabled liquid biopsy approaches in cancer, reporting pooled diagnostic sensitivity and specificity across multiple cancer types and demonstrating that deep learning integration with multi-analyte liquid biopsy achieves clinically actionable accuracy. The analysis identifies significant heterogeneity in study design as the primary limitation, while noting deep learning classifiers consistently outperform traditional statistical methods.
What the study was
- Study design
- Systematic review and meta-analysis
- Population
- Cancer patients across multiple tumour types included in liquid biopsy AI studies
- Category
- Early Detection
- Maturity
- Exploratory
- Journal
- Front Oncol
Why it surfaced
First systematic meta-analysis of AI-enabled liquid biopsy; cross-domain relevance to T3 and T4; PMC full text available.
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