Case Study: How Capital Health Speeded Stroke Diagnosis Using AI Solution from MaxQ AI and Intel
Strokes are the fifth leading factor of death in the United States and the second leading cause around the world. Patients afflicted with brain injuries must receive fast and accurate diagnosis so they can get life-saving treatment in time. Therefore, prompt diagnosis and treatment are critical. The challenge is that proper diagnosis of brain injury needs highly skilled neuroradiologists to detect subtle indicators of bleeding. But with the scarce availability of trained experts, brain injuries can be very difficult to manage in terms of diagnosis. As a result, hospitals are looking to ease the burden on their strained radiologists and empower them with technology. Here, AI solutions are well-suited to help acute care physicians who are under extreme pressure to make quick and accurate decisions while treating a large number of patients. Medical Imaging Solution from MaxQ AI and Intel In the following case study, we see how one medical organization, Capital Health, decided to go with an innovative solution leveraging on artificial intelligence. As a Level II regional trauma center, Capital Health decided to leverage AI to improve patient care. Capital Health deployed MaxQ AI’s  ACCIPIO® platform, which integrates into a comprehensive, seamless, and secure workflow to augment acute care teams with deep clinical insight and actionable data in minutes. It uses deep-learning diagnostics within the radiology network and is powered by capabilities from Intel® to aid patients with stroke, traumatic brain injury (TBI), or other causes of a brain hemorrhage to get the diagnosis quickly. To download the case study, Click Here. This case study throws light on the power of Intel® AI Builders program in bringing out advanced AI solutions that solved a major crisis for a US hospital. Working with the Intel® AI Builders program, MaxQ AI speeded up the computational performance of its ACCIPIO® Ix pipeline by 3x, and achieved rapid analysis of CT brain scans. By downloading this free case study, you will get the in-depth details on the initial challenge faced by Capital Health, the details of the AI-powered solution deployed and the benefits achieved using Intel-powered MaxQ AI’s ACCIPIO® medical diagnostics solution. You will also learn how MaxQ AI benefited from a wide range of Intel tools and technologies. The diagnostic solution uses the Intel® Math Kernel Library for Distributed Neural Networks (Intel® MKL-DNN) to fine-tune model performance on Intel® Core™ i7 processors, for maximum performance and flexibility at the network edge. MaxQ AI also deploys the Intel® Distribution of OpenVINO™ toolkit to speed up image recognition applications on Intel architecture-based platforms. To download the case study, Click Here.
Strokes are the fifth leading factor of death in the United States and the second leading cause around the world. Patients afflicted with brain injuries must receive fast and accurate diagnosis so they can get life-saving treatment in time. Therefore, prompt diagnosis and treatment are critical.  The challenge is that proper diagnosis of brain injury […]
Strokes are the fifth leading factor of death in the United States and the second leading cause around the world. Patients afflicted with brain injuries
["Intel"]
["Go", "API", "artificial intelligence", "AI", "neural network", "ML", "image recognition", "RAG", "GAN", "R", "Intel"]
["AI", "artificial intelligence", "ML", "neural network", "RAG", "image recognition", "R", "Go", "API", "GAN"]
Vishal Chawla is a senior tech journalist at Analytics India Magazine and writes about AI, data analytics, cybersecurity, cloud computing, and blockchain. Vishal also hosts AIM's video podcast called Simulated Reality- featuring tech leaders, AI experts, and innovative startups of India.