![\"\"](\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2020\/05\/WB-requested-body-image-x600.png\")
<\/a>So, the startup deployed another 400 cameras sporting night vision and microphones across the 10 hospitals. They use Whiteboard\u2019s network of NVIDIA GPUs to transcode the video streams so they can be viewed securely on any hospital display.<\/p>\n
\u201cNurses tell us the remote viewing is phenomenal. They report going into rooms less and consumption of protective gear is down. Our next challenge is using our computer-vision capabilities to track inventory of protective gear in real time,\u201d he said.<\/p>\n
The thermal cameras and patient monitors link to 36 NVIDIA RTX 2080 Ti<\/a> GPUs. They handle transcoding and other algorithms to deliver low-latency feeds at 20 frames\/second.<\/p>\n The current COVID-19 uses don\u2019t require AI today, but deep learning is a core part of Whiteboard\u2019s system. \u201cEighty percent of what we do is computer vision, but we can integrate different sensors for different problems,\u201d Gostine said.<\/p>\n Whiteboard\u2019s system also supports Bluetooth and RFID sensors for a range of patient monitoring, inventory tracking, resource scheduling and security apps. One hospital increased the use of its operating rooms 27 percent while reducing its costs, thanks to the startup\u2019s OR scheduling system. It currently runs on an NVIDIA Jetson TX2<\/a> and is being upgraded to Quadro 4000 GPUs<\/a>.<\/p>\n For use cases such as fever and\u00a0 mask detection, Whiteboard also plans to adopt NVIDIA Clara Guardian<\/a>, an application framework that simplifies the deployment in hospitals of smart sensors with multi-mode AI. It is among 18 companies currently supporting Clara Guardian, software that runs on the NVIDIA EGX platform<\/a> for AI computing on edge servers and embedded devices.<\/p>\n The pandemic spawned orders from 100 hospitals for Whiteboard\u2019s thermal cameras. The startup currently has at least one of its systems installed in a total of 22 hospitals.<\/p>\n \u201cOur biggest problem is sourcing cameras and other hardware we need because supply chains are in disarray,\u201d Gostine said.<\/p>\n Once the pandemic passes, the startup aims to employ AI to improve outcomes of surgical techniques used in the operating room. Long term, Whiteboard\u2019s value will come from its expanding AI algorithms and datasets, trained on NVIDIA V100 Tensor Core GPUs<\/a> in Microsoft\u2019s Azure service, he said.<\/p>\n It\u2019s a big opportunity. Accenture predicts<\/a> by 2026 the top 10 AI healthcare apps will generate a $150 billion market. It will span areas such as robotic surgery, virtual nursing assistants and automated workflows.<\/p>\n The startup\u2019s mission was born of Gostine\u2019s personal passion for making hospitals more modern and efficient.<\/p>\n \u201cWhen I got to med school, I was frustrated because it seemed we lagged behind the internet era I grew up in,\u201d he said.<\/p>\n After graduating, he got an MBA and spent some time consulting with healthcare startups before his internship. Work with more than a dozen companies led to a position with a VC firm during his medical residency.<\/p>\n \u201cIt was like night and day. The venture world was thinking 10 years ahead, and I realized healthcare was really behind \u2014 we\u2019re still using pagers and fax machines,\u201d he said.<\/p>\n \u201cThere\u2019s so much paperwork to get through every day, just so we can think about our patients. What we are doing at Whiteboard really stems from the frustrations I felt in my practice,\u201d he added.<\/p>\n A series of chance encounters led him to three AI, software and medical experts who formed Whiteboard, a member of NVIDIA\u2019s Inception program<\/a>, which gives startups access to new technologies and other resources.<\/p>\n Whiteboard\u2019s first product aimed to streamline OR scheduling, then it expanded into patient monitoring. Now the coronavirus has taken its networks all the way to the hospital\u2019s front door.<\/p>\n The post COVID Caught on Camera: Startup\u2019s Sensors Keep Hospitals Safe<\/a> appeared first on The Official NVIDIA Blog<\/a>.<\/p>\n Andrew Gostine’s startup aims to make hospitals more efficient, but when the coronavirus hit Chicago he pivoted to keeping them safer, too. Gostine is a critical-care anesthesiologist at Northwestern Medicine’s 105-bed Lake Forest hospital, caring for 60 COVID-19 patients. He’s also the CEO of Whiteboard Coordinator Inc., a startup that had a network of 400 Read article ><\/a><\/p>\n The post COVID Caught on Camera: Startup’s Sensors Keep Hospitals Safe<\/a> appeared first on The Official NVIDIA Blog<\/a>.<\/p>\n","protected":false},"author":197,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_mi_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[343],"tags":[4223,7458,2181,7256,3569,2043,7017,12610,7704,589],"yoast_head":"\nA Sensory-Friendly Guardian for Hospitals<\/b><\/h2>\n
Seeking Better Surgery Outcomes with AI<\/b><\/h2>\n
From Faxes to the Future<\/b><\/h2>\n