Explore our advanced healthcare solutions, where innovation meets healthcare excellence.
In the fast-evolving realm of healthcare, technological innovations are crucial for enhancing patient outcomes, improving surgical accuracy, and ensuring safety protocols. Our solutions equip healthcare providers with advanced tools to deliver exceptional care through the latest technologies. We offer cutting-edge solutions for pill identification, surgical support, PPE oversight, and cancer detection, all driven by GenAI and AI/ML technologies. Computer vision can streamline routine tasks and, in some cases, fully automate them. By utilizing images from ultrasounds, x-rays, endoscopies, thermographies, MRIs, and security feeds, we can train computer vision models. Data labeling can be handled in-house or outsourced to specialized services.
Pill Recognition
Utilize AI algorithms for accurate pill identification and medication management. Improve patient safety and adherence through automated pill recognition technology.
PPE Monitoring
Monitor healthcare workers' adherence to PPE protocols using AI-based monitoring systems. Ensure safety and minimize the risk of infection in healthcare settings through real-time monitoring.
Surgical Assistance
Assist surgeons with real-time data and visualization tools for enhanced precision during procedures. Improved surgical outcomes and reduce risks with advanced surgical assistance technology.
Cancer Screening
Implement AI-driven screening tools for early detection and diagnosis of cancer. Improve patient outcomes through timely and accurate cancer screening technologies.
Why Choose Us ?
Improved Patient Safety
Enhanced Surgical Precision
Safety Compliance
Efficiency and Accuracy
Early Disease Detection
See real impact:
Healthcare solutions
transforming patient
care, surgeries,
and safety
Case Study: Ischemic Stroke Detection Mobile App
Introduction
In this case study, we explore the development and performance of a mobile app designed to detect ischemic strokes. The app utilizes both image and voice data, feeding them into separate neural network models for prediction. Our goal was to create an accurate and user-friendly tool that could assist medical professionals in diagnosing ischemic strokes promptly.
Background
Ischemic strokes occur when blood flow to the brain is blocked due to a clot or other vascular obstruction. Early detection is crucial for effective treatment and minimizing long-term damage. Our app aims to provide a rapid and reliable diagnosis by analyzing both visual and auditory cues.
App Features
User Interaction
Image Neural Network Model
Voice Neural Network Model
Integration
The app seamlessly integrates the predictions from both models. If either model indicates a high likelihood of stroke, the app alerts the user to seek immediate medical attention.
Implementation
- Data Collection: Collected a diverse dataset of stroke patients’ images and voice recordings. Ensured privacy and consent compliance.
- Model Training: Preprocessed images (face detection, normalization) and audio (feature extraction). Trained separate neural networks using deep learning frameworks (TensorFlow). Fine-tuned hyperparameters to optimize accuracy.
- App Development: Developed a user-friendly interface for recording speech and capturing images. Integrated neural network models into the app’s backend. Ensured real-time processing for quick results.
Conclusion
Our ischemic stroke detection mobile app demonstrates the potential of combining image and voice data for accurate diagnosis. With a 96% accuracy rate for image-based predictions and 95% accuracy for voice-based predictions, the app holds promise in improving stroke management and patient outcomes. Further research and collaboration with healthcare institutions are essential for widespread adoption and continuous improvement.