HOPPR’s innovative platform leverages AWS infrastructure to enhance accuracy and efficiency in medical imaging diagnostics.
San Francisco, CA — December 2, 2024 — HOPPR, a pioneering leader in artificial intelligence (AI) solutions for healthcare delivery using its medical grade foundation models, announced ahead of RSNA collaboration with Amazon Web Services (AWS) to launch HOPPR’s API Service for fine tuning, image and text inferencing, designed specifically for chest X-ray and mammography imaging. Built on HOPPR’s Quality Management System (QMS) and leveraging millions of diverse radiology studies, this platform integrates Amazon SageMaker HyperPod for training the model and leverages Amazon Sagemaker for Image and Text inferencing. The HOPPR platform provides developers building applications for radiologists and healthcare providers more accurate, accessible, and scalable AI-driven tools to embed within their imaging applications, enhancing early detection capabilities and diagnostics applications in critical areas of healthcare.
HOPPR’s advanced platform supports fine-tuning enabled by Amazon Sagemaker and trained on Amaozon HyperPod within AWS’s secure, scalable cloud infrastructure. Together, this delivers foundation models to enable applications developers to increase their speed to market and enhance and with fine tuning improved model accuracy. Healthcare application providers benefit from better data and an interactive API service to deliver via their applications the outputs of the HOPPR API Service with the ability to customize and refine AI models and address unique diagnostic in the workflow challenges in Chest X-ray and mammography within their existing applications.
“Working with AWS enables us to accelerate our mission of transforming medical imaging with AI and launch a medical grade foundation model in several modalities. By utilizing AWS's powerful infrastructure, Amazon HyperPod training environment and AI services alongside we can provide healthcare application developers and PACS systems to become GenAI enabled to improve patient outcomes through precise and efficient diagnostics in their workflow,” said Dr. Khan Siddiqui, CEO of HOPPR. “Our platform’s ability to fine-tune AI models empowers app developers to help radiologists with faster, more accurate diagnostics.”
The new HOPPR platform features advanced generative AI foundation models built under a Quality Management System specifically designed to handle the complexities of X-ray and mammography data and support our application developer partners to be efficient in their filings as medical devices. This facilitates quicker insights for in radiology applications and devices. These capabilities are particularly important in mammography, where early detection can save lives, and in chest X-ray imaging, where AI can assist in rapidly analyzing vast amounts of data to aid in critical diagnoses and reduce processing time for radiologists.
HOPPR’s platform benefits from AWS’s highly trusted and secure-by-design cloud infrastructure, allowing HOPPR to architect to meet compliance and privacy requirements, including HIPAA. Additionally, AWS’s scalable infrastructure allows healthcare providers of all sizes to adopt HOPPR’s technology with ease and confidence.
Key Benefits of HOPPR’s Fine-Tuning Platform:
Improved Accuracy: Fine-tuned AI models tailored for X-ray and mammography imaging deliver higher precision in diagnostics.
Enhanced Processing Speed: NVIDIA’s GPU technology accelerates AI computations, enabling real-time diagnostics.
Scalability: Leveraging AWS's cloud infrastructure combined with NVIDIA’s GPUs allows seamless adoption and scaling to meet healthcare provider needs.
Security: HIPAA-compliant data handling ensures enhanced patient data security and privacy.
Innovation: Advanced AI customization enables healthcare providers to target specific diagnostic needs and improve clinical workflows.
Availability
HOPPR’s medical grade platform and services are accessible via HOPPR’s API Service for fine-tuning and inferencing on Amazon Sagemaker, enabling healthcare providers to access and deploy AI-powered solutions rapidly and efficiently. This launch represents a significant step forward in the adoption of AI for medical imaging, compliance and embedding AI in the workflows people use with the systems and applications they have with the potential to transform diagnostics and improve patient outcomes. Please feel free to visit the AWS booth from 1:30 – 5 PM daily during RSNA or by visiting the HOPPR Booth 5337.
For more information, please visit www.hoppr.ai.
About HOPPR
HOPPR is an innovative healthcare AI company specializing in advanced machine learning solutions for medical imaging. With a focus on enhancing diagnostic accuracy and efficiency, HOPPR is committed to providing healthcare professionals with the tools needed to improve patient outcomes through precision AI.
