How Xuzhou Maternity Hospital Built a City‑Level AI Cervical Cancer Screening Center with KFBIO

Xuzhou Maternity and Child Health Care Hospital, a tertiary Class‑A hospital affiliated with Xuzhou Medical University, serves as the city’s official cervical cancer prevention and screening center. Facing a rapidly growing screening workload, the hospital partnered with KFBIO to deploy an end‑to‑end digital pathology and AI‑assisted cytology solution. This case study shows how the integration of whole‑slide imaging, artificial intelligence, and a cloud‑based telepathology platform improved efficiency, standardized quality, and expanded screening capacity by over 120% in two years.

Background: A Tertiary Hospital Leading Women’s Digital Health

Xuzhou Maternity and Child Health Care Hospital is a flagship institution in Jiangsu Province, responsible for citywide cervical cancer screening. As a tertiary Class‑A hospital and a teaching affiliate of Xuzhou Medical University, it has a strong commitment to digital transformation and AI adoption in women’s healthcare.

Challenges: High Volume, Manual Bottlenecks, and Disconnected Data

• Large‑scale workload – The hospital manages over 60,000 cytology samples annually, requiring rapid, standardized diagnosis.
• Manual inefficiency – Traditional manual screening was time‑consuming and prone to observer variability, leading to inconsistent results.
• Data disconnection – Diagnostic and reporting systems across different departments were not integrated, slowing workflow and record keeping.

Solutions: KFBIO’s Full‑Stack AI Digital Pathology Platform

With support from KFBIO, the hospital launched the City‑Level AI Cervical Cancer Prevention and Screening Center. The solution includes three core components:

1. Full Digital Workflow

Every step from patient registration to final archiving was digitized:
Registration → Sample collection → Staining → Scanning → AI‑assisted diagnosis → Report archiving
This automation significantly reduced human dependency and improved process traceability.

2. AI‑Assisted Cytology System

• Achieves >70% lesion detection accuracy with AI analysis.
• Processing time: within 60 seconds per slide.
• Enables rapid pre‑screening and priority triage of abnormal cases, allowing pathologists to focus on suspicious slides.

3. Telepathology & Remote Review Platform

• Linked hospitals citywide through KFBIO’s cloud‑based telepathology platform.
• Facilitates real‑time expert consultation, centralized data storage, and remote quality control.

Results: Measurable Improvements in Volume, Accuracy, and Standardization

Annual Screening Data (2020–2022)

Year	Cases Screened	Positive Rate
2020	25,461	5.22%
2021	28,261	5.12%
2022	62,541	4.87%

• Increased capacity – Annual screening volume grew by over 120% from 2020 to 2022 (from 25,461 to 62,541 cases).
• Stable screening accuracy – Positive rates slightly decreased (5.22% → 4.87%), reflecting improved early intervention and consistent AI‑assisted reading.
• Standardized quality – Unified digital workflows and AI‑based quality control ensured consistent diagnostic standards across all citywide screening sites.

Outcome: A Scalable Model for AI‑Driven Public Health Screening

By adopting KFBIO’s AI pathology solutions, Xuzhou Maternity and Child Health Care Hospital has built a smart, scalable cervical cancer prevention network. The hospital now leads Jiangsu Province’s initiative in AI‑driven public health screening and digital pathology innovation. The success has also inspired other regional hospitals to adopt similar integrated digital pathology workflows.

Conclusion

This case demonstrates that combining high‑volume slide digitization, AI‑assisted cytology, and cloud telepathology can overcome traditional screening bottlenecks. KFBIO provides a ready‑to‑deploy solution that improves efficiency, reduces observer variability, and supports public health goals. For hospitals seeking to modernize cervical cancer screening or expand AI‑enabled women’s health services, the Xuzhou model offers a proven roadmap.

Call to action: Contact KFBIO to learn how our AI digital pathology solutions can transform your cytology lab or population screening program.