MediVerse is an AI-powered pre-surgical assistant designed to streamline the pre-surgical process, helping healthcare providers improve patient outcomes and reduce physician burnout. By capturing and organizing critical pre-op information, MediVerse automates and simplifies the workflow, enhancing efficiency and accuracy.
The inspiration for MediVerse came from observing the time-consuming and fragmented pre-surgical process. We saw an opportunity to leverage advanced AI and cloud technologies to make this phase of patient care more efficient, potentially improving outcomes and reducing physician burnout.
- Multi-Language Pre-Op Capture: Captures pre-op notes through voice or text in multiple languages.
- Endoscopy Video Analysis: Uses computer vision to detect anomalies in endoscopy videos.
- Real-Time Transcription: Automatically transcribes spoken observations during procedures.
- Comprehensive Reporting: Compiles all data into a structured report using Google Cloud's BigQuery.
- Intuitive Workflow: Provides a smooth workflow from initial data collection to final report generation.
- Frontend: Next.js
- Backend: Express.js, Node.js
- AI and ML Tools: NLX for natural language processing, OpenCV for computer vision
- Cloud Services: Google Cloud (BigQuery, Storage), Google’s Speech-to-Text API
- Other: Python for data processing
- Data Capture: Healthcare providers input pre-op notes via voice or text in multiple languages.
- Video Analysis: Analyzes endoscopy video feeds using computer vision for real-time anomaly detection.
- Transcription: Transcribes real-time spoken observations during procedures to reduce manual entry.
- Data Organization: Compiles and organizes data into a report, accessible for the healthcare team.
- Workflow Management: Provides an end-to-end solution from data capture to comprehensive reporting.
- Integrating multiple AI tools (NLX, OpenCV, Speech-to-Text) seamlessly.
- Ensuring real-time processing and analysis of endoscopy videos.
- Maintaining data privacy and security within cloud services.
- Creating an intuitive UI for busy medical professionals.
- Handling multi-language support for voice inputs and transcriptions.
- Developed a unified platform to streamline the pre-surgical process.
- Successfully integrated computer vision for real-time video analysis.
- Implemented a multi-language voice input system.
- Created an intuitive UI with minimal training requirements for medical staff.
- Leveraged cloud solutions to enable efficient and scalable data processing.
- Gained insights into healthcare workflows and the need for user-centered design.
- Developed integration techniques for multiple AI and cloud services.
- Learned the importance of managing sensitive medical data securely.
- Explored the potential of AI to enhance healthcare efficiency.
- Recognized the value of cross-disciplinary collaboration in healthtech.
- Expanding computer vision capabilities to detect a broader range of anomalies.
- Integrating with Electronic Health Record (EHR) systems for seamless data flow.
- Developing a mobile application for remote access.
- Implementing AI-driven predictive analytics for surgical outcomes.
- Conducting clinical trials to validate the system’s efficacy.
- Exploring partnerships with medical device manufacturers for direct integration.
- Devpost: MediVerse on Devpost
- GitHub Repository: MediVerse GitHub Repository
MediVerse is on a mission to enhance the pre-surgical experience for healthcare providers and patients alike, harnessing the power of AI and cloud technology to make healthcare more efficient and reliable.