Intel Vision Describes How AI Improves Cancer Treatment
Kernel Accelerates Cancer Treatment Despite Staffing Shortages.At Intel Vision, Siemens Healthineers demonstrates how AI in medical imaging improves cancer treatment speed and accuracy
As individuals live longer, fewer kids are born, and a significant group approaches their senior years, the population is shifting towards an older demographic
Due to a severe shortage of radiology technicians (the American Society of Radiologic Technologists reports a vacancy rate of 18.1%, up from 6.2% in 2021), cancer patients face longer treatment plans, delayed diagnoses, and the risk of cancer progression, all of which increase anxiety
Siemens Healthineers employs artificial intelligence to more precisely identify anomalies with the use of potent Intel Xeon Scalable processors
A collection of AI algorithms called AI-Rad Companion aids physicians in expediting diagnosis and treatment
AI-Rad Companion’s algorithms have been taught to identify organs and anatomical data using Intel’s OpenVINO technology, an open source toolset that can be used to speed up AI inferencing
The AI-Rad Companion tool helps clinicians discover, measure, define, and quantify anomalies in complex imaging cases, reducing diagnostic interpretation time
The FDA has authorised over 1,000 AI algorithms to date, yet only a small percentage of them are covered by Medicare or Medicaid