AI in Cervical Cancer Cytology Diagnostics: A Narrative Review of Cutting-Edge Studies
<b>Background:</b> The integration of artificial intelligence (AI) into cervical cancer diagnostics has shown promising advancements in recent years. AI technologies, particularly in the analysis of cytological images, offer potential improvements in diagnostic accuracy and screening eff...
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| Main Authors: | Daniele Giansanti, Andrea Lastrucci, Antonia Pirrera, Sandra Villani, Elisabetta Carico, Enrico Giarnieri |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-07-01
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| Series: | Bioengineering |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2306-5354/12/7/769 |
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