Open Charan-Venkatesh opened 23 hours ago
Technical Updates: Progress on each AI model and feature described in the document. Resource Allocation: Whether the budget and team efforts are on track. Clinical Integration: Comments on how effectively the system is being incorporated into real-time radiology use, such as detecting anomalies and reducing diagnostic erro
DPR Description: While the document doesn't explicitly mention a DPR (Development Progress Report), the entire file functions as a project proposal for AI systems in radiology. A DPR in this context would include updates on the following aspects:
Project Overview: Detailing the development stages of the AI system. System Architecture & Workflow: How different models like CNN, U-Net, and LSTM are implemented. Milestones: Checkpoints for progress on the anomaly detection, tumor segmentation, and prognostic monitoring capabilities. Challenges: Mentioning any technical roadblocks or risks, like AI model bias or system reliability issues