Transforming cervical cancer pathological diagnosis through artificial intelligence: progress, performance, and barriers to clinical implementation

AI technology shows broad application prospects in cervical cancer pathological diagnosis, potentially alleviating pathologist shortages and improving diagnostic standardization. The technology particularly suits cervical cancer prevention in resource-limited regions, supporting global elimination goals, though standardization and validation challenges require addressing before widespread clinical implementation.