Privacy aware layman understanding of cancer medical records using RAG and ML (understand-your-cancer-medical-records-in-layman-ese.vercel.app)

A new AI-driven platform has been launched that provides simplified, plain-English interpretations of cancer-related medical records, including biopsy reports, imaging findings, and genomic testing results. The tool allows patients to upload their pathology reports or scan results, which the AI then analyzes by cross-referencing established guidelines from the National Comprehensive Cancer Network (NCCN), National Cancer Institute (NCI), and American Society of Clinical Oncology (ASCO). Users receive a clear summary, empowering them to better understand their condition and engage in informed discussions with their oncologists. This development is significant for the AI/ML community as it highlights the growing application of machine learning in enhancing patient communication and understanding in healthcare. With nearly half of cancer patients reporting confusion after appointments, this tool addresses a critical gap by providing accessible information in multiple languages and varying reading levels while ensuring HIPAA compliance and privacy through the non-retention of patient data. By enabling patients to decode complex medical jargon, the platform not only aids in informed decision-making but also represents a step towards greater patient autonomy in managing their health.