Home News Medlander Launches the Flagship PI-ONE System:
Medlander Launches the Flagship PI-ONE System:

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PI-ONE: AI Guardian for Women’s Pelvic Health

The PI-ONE System integrates cutting-edge technologies, including surface electromyography (EMG) sensors, biofeedback, ultrasound imaging, pulsed magnetic stimulation, high-frequency radiofrequency energy, and proprietary AI algorithms. In just 2 seconds, the system can accurately assess 13 key parameters related to pelvic floor muscle function and anatomic structure. This non-invasive, painless, and highly efficient process dramatically improves the patient experience by eliminating discomfort and reducing diagnostic subjectivity associated with traditional methods.

 

Core Products:

  • Diagnostic Color Ultrasound System
  • Biofeedback and Electrical Stimulation Device
  • Magnetic Stimulation System
  • High Frequency Evaluation and Therapy Device (Radiofrequency)

Key Features:

  • One-click AI Evaluation: Automatically generates intuitive, graphic-based reports with functional scoring.
  • Multi-parameter Synchronous Monitoring: Measures 13 core physiological indicators, including muscle strength, endurance, and coordination.
  • Personalized Intervention Guidance: Recommends tailored rehabilitation therapies (e.g., biofeedback, electrical stimulation, magnetic stimulation, radiofrequency) based on real-time EMG data and ultrasound examination result.
  • Cloud-based Data Management: Enables case tracking, remote consultation, and interdisciplinary collaboration, supporting the development of smart healthcare ecosystems.

Indications:

The PI-ONE System is widely applicable for screening and managing various female pelvic floor disorders, including but not limited to:

  • Stress Urinary Incontinence / Mixed Urinary Incontinence
  • Pelvic Organ Prolapse (e.g., uterus, bladder, rectum)
  • Chronic Pelvic Pain Syndrome
  • Postpartum Recovery Assessment & Intervention
  • Dyspareunia & Sexual Dysfunction
  • Pre- and Post-operative Pelvic Floor Muscle Evaluation

PI-ONE is capable of identifying a broad range of common yet often underdiagnosed pelvic conditions. In addition to its powerful diagnostic capabilities, it also provides evidence-based treatment recommendations and facilitates effective doctor-patient communication through visualized AI scoring reports.

 

 

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In-Depth Product Insight

 

A Data-Driven Smart Healthcare Platform

More than a diagnostic tool, PI-ONE is a comprehensive platform that integrates smart healthcare technologies. Its cloud-based infrastructure supports multi-displinary collaboration, remote monitoring, and personalized health management. To date, the system has been implemented in over 100 hospitals across China, demonstrating its exceptional clinical value and scalability.

 


 

 

RS YPK Mandiri: Pioneering Women’s Health in Indonesia

In April 2025, RS YPK Mandiri became the first hospital in Indonesia to adopt the PI-ONE System. A five-day national workshop was held to mark the launch, engaging dozens of medical experts from across the country both onsite and online. The event significantly enhanced clinical professionals’ capacity to apply AI-driven technologies in practice and accelerated the broader adoption of smart diagnostics.

Studies indicate that over one-third of women aged 40 and above suffer from some form of pelvic floor dysfunction. The launch of the PI-ONE System represents a transformative step toward intelligent, accurate, and patient-centered pelvic health management.

As Prof. Budi Iman Santoso, Chairman of the Indonesian Urogynecology Association (HUGI), aptly stated:

“PI-ONE is more than just a diagnostic tool — it offers hope and dignity to millions of women.”

 

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Related report:

https://mediaindonesia.com/humaniora/762722/rs-ypk-mandiri-jadi-yang-pertama-di-indonesia-luncurkan-pi-one-terobosan-untuk-diagnosis-gangguan-panggul-wanita#goog_rewarded

https://www.medcom.id/gaya/fitness-health/JKR5zJpk-teknologi-ai-untuk-deteksi-dini-gangguan-panggul-pada-wanita

https://tirto.id/rs-ypk-mandiri-pakai-ai-untuk-diagnosis-gangguan-panggul-wanita-haRi?t=1745377560907

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