ViuMe

Chandra Prasetyo Utomo, Muhamad Fathurrachman,  Muhammad Wildan Pratama, Yulia Suciati, Ahmad Rusdan Utomo, Indra Kusuma, Asep Muhamad Ridwanuloh, Nunung Ainur Rahmah

ViuMe is an AI powered digital pathology platform developed through a strategic collaboration between Universitas YARSI, PT Patgen Diagnostik Teknologi, and YARSI Hospital. Funded by the 2023 Kedaireka Matching Fund, the project focuses on the early detection of cervical cancer. By utilizing Liquid Based Cytology which offers superior accuracy over conventional methods, the platform addresses the critical shortage of pathology experts by providing faster and more reliable digital image analysis.The technical development of ViuMe involves high performance machine learning models trained on digitized slides annotated by professional pathologists. To ensure maximum security and scalability for medical data, the system is hosted on Amazon Web Services following the Well Architected Framework. The platform features an interactive web dashboard and a user friendly mobile application designed for efficient clinical workflows. This synergy between academia and industry not only produces innovative healthcare solutions but also provides students and faculty with invaluable experience in deploying real world AI technologies.

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