We previously announced Clara Guardian, an application framework and partner ecosystem that accelerates the development and deployment of smart sensors with multimodal AI anywhere in the hospital. Today four pre-trained models and NVIDIA Fleet Command are officially available for early access.
Clara Guardian’s key components include healthcare pre-trained models for computer vision and speech, training tools, deployment SDKs, and NVIDIA Fleet Command. NVIDIA Fleet Command is a hybrid-cloud platform for securely managing and scaling AI deployments across millions of servers or edge devices at hospitals.
Healthcare Pre-Trained Models
- Body pose estimation can be used to detect positions of key joints and facial landmarks in the body (eyes, ears, elbows, shoulders, wrists, hip sides, knees, ankles, nose, neck, etc) to build patient monitoring AI applications.
- Gesture recognition models can recognize a set of common gestures (wave, okay, thumbs-up, stop, etc).
- Heart rate estimation can be used to obtain the heart rate of a person just by observing the video stream of a person’s face.
- Speech models (ASR, NLP, and TTS) can be used to capture, process, and respond to common requests that a patient might make when they are in a healthcare setting.
We include sample apps that demonstrate how to use these models in sensor fusion use cases.
Learn more technical details, here.
NVIDIA Fleet Command
NVIDIA Fleet Command is a hybrid-cloud platform for securely managing and scaling AI deployments across millions of servers or edge devices at hospitals. Healthcare professionals can focus on delivering better patient outcomes, instead of managing infrastructure. See it in action here.
“Whiteboard Coordinator works with leading healthcare providers to organize their applications, servers and software deployments from anywhere at any time from the cloud,” said Andrew Gostine, MD, CEO of Whiteboard Coordinator, NVIDIA Inception healthcare AI startup. “We’re using NVIDIA Fleet Command to remotely deploy and securely manage a suite of healthcare AI applications across multiple hospital locations with a few clicks. That frees us to focus more on providing value to patients, instead of spending hours managing infrastructure.”
Request for early access today.
