DAMU MVP (Minimum Viable Product)

The DAMU MVP is the foundational version of this technology, built to provide accurate medical diagnoses based on various medical imaging datasets. It aims to reach diagnostic precision that surpasses the initial assessments of doctors, offering a reliable second opinion tool.

Key Functions of DAMU MVP

• Medical Image Analysis: The system integrates pre-trained AI models like BioBERT and MONAI to analyze DICOM files in real-time, recognizing common pathologies with a high degree of accuracy.
• AI-Driven Insights: Doctors upload patient DICOM images, and the AI offers diagnostic results based on its training, allowing for comparison with human diagnostics.
• AI Explanation: Each AI-generated diagnosis is accompanied by an explanation window, detailing the patterns and anomalies detected. Doctors can view and validate the results in context.
• Comment Window: A feature that allows healthcare providers to add comments on the AI’s findings, streamlining collaboration between human and machine.
• Scalable Infrastructure: DAMU MVP uses cloud-based storage to manage data efficiently while also allowing external databases to be accessed through federated learning, ensuring consistent and continual self-learning.

The DAMU MVP is a powerful assistant tool that improves decision-making in medical institutions. Its data anonymization ensures that sensitive patient data is fully protected, only revealing essential characteristics like age, gender, height, weight, and medical history.