🕓Future Roadmap

As we continue to develop and improve VOXRAD, we're excited to share our vision for the future of the application. This roadmap outlines our plans for new features, enhancements, and expansions that will make VOXRAD an even more powerful tool for radiologists and medical professionals.

Short-term Goals (Next 3-6 months)

1. Enhanced Model Support

• Implement support for additional voice-to-text models beyond Whisper

• Expand multimodal model compatibility to include more AI providers

• Optimize performance for existing models by allowing users to pass requests fields like top_p, temperature, max_tokens etc.

2. User Interface Improvements

• Redesign the main application window for improved usability

• Add customizable keyboard shortcuts for common actions

3. Template Management

• Create a user-friendly template editor within the application

• Generate and modify templates using LLMs.

• Implement template versioning and history

• Allow for template sharing between users (with appropriate privacy controls)

4. Performance Optimization

• Improve audio processing speed

• Optimize API calls to reduce latency

• Implement better error handling and recovery mechanisms

5. Web Interface

• Develop a Web Interface of VOXRAD integrating all functionalities of existing standalone application along with secure cloud management of user templates.

Medium-term Goals (6-12 months)

1. Multi-language Support

• Add support for transcription and report generation in multiple languages

• Create language-specific templates and formatting options

2. Integration Capabilities

• Develop plugins for popular PACS and RIS systems

• Create an API for third-party integrations

• Implement secure data exchange protocols for healthcare systems

3. Advanced Analytics

• Support for function tool calling for specific use cases as supported by LLMs. Read more here.

• Introduce a dashboard for users to track their usage and productivity

• Implement AI-driven insights on reporting patterns and efficiency

• Provide suggestions for template improvements based on usage data

4. Compliance

• Seek relevant healthcare regulations and standards compliance and certifications.

Long-term Goals (12+ months)

1. AI-Assisted Diagnosis

• Integrate image analysis AI to suggest findings based on uploaded images

• Implement a system for cross-referencing reports with medical databases

• Develop an AI assistant for suggesting relevant studies and follow-ups

2. Mobile Application

• Create iOS and Android versions of VOXRAD

• Implement secure cloud synchronization for seamless work across devices

• Develop offline mode with integrations of open-source models for report dictation without internet access.

3. Continuous Learning System

• Implement a feedback loop for continuous improvement of AI models utilising user generated reports and corresponding final reports.

• Develop personalized AI models that adapt to individual user's speech patterns and reporting styles

• Create a system for anonymized data sharing to improve overall model performance (with strict opt-in policies)

5. Expansion to Other Medical Specialties

• Adapt VOXRAD for use in pathology, dermatology, and other reports/notes-intensive medical fields

• Develop specialty-specific templates and AI models

• Create a modular system for easy adaptation to different medical workflows

Ongoing Commitments

Throughout all stages of development, we remain committed to:

• Security and Privacy: Continuously updating and improving our security measures to protect sensitive medical data.

• Regulatory Compliance: Ensuring VOXRAD meets and exceeds all relevant healthcare regulations and standards.

• User Feedback: Actively seeking and incorporating user feedback into our development process.

• Accessibility: Making VOXRAD usable for professionals with different abilities and needs.

• Ethical AI Development: Ensuring our AI implementations are transparent, unbiased, and ethically sound.

We're excited about the future of VOXRAD and look forward to bringing these innovations to our users. As always, we welcome feedback and suggestions from our community to help shape the future of radiology reporting.

Note: This roadmap is subject to change based on technological advancements, user needs, and regulatory environments. We'll provide regular updates on our progress and any adjustments to our plans.