AI Joins with Embedded to Create Medical AI CASE STUDY According to a paper in the Journal of Healthcare Engineering, “Medical artificial intelligence (Medical AI) uses computer techniques to perform clinical diagnoses and suggest treatments. AI has the capability of detecting meaningful relationships in a dataset and has been widely used in many clinical situations to diagnose, treat, and predict the results.” We are seeing an increase in the use of AI for medical/healthcare applications. There are many advantages that can be realized through the use of Medical AI. In its most basic form, it simplifies the lives of patients, doctors, and hospital administrators by performing tasks that are typically done by humans. And those tasks are carried out significantly faster and for a fraction of the cost. Today, there are real examples of Medical AI being used to: • Detect and diagnose cancer • Diagnose and treat illnesses based on patient symptoms • Diagnose blood diseases • Analyze radiology imaging scans • Develop new medicines • Treat rare diseases • Process clinical trial predictions AI is making significant inroads in the medical space. The latest embedded systems are opening doors that didn’t even exist previously, vastly improving quality of life. (Image s

The Need Is Obvious It is clear that Medical AI is solving a serious problem in the medical/healthcare arena. Patients need better and faster care, doctors need techniques that are trustworthy, and hospitals and administrators need tools that are cost effective. Medical AI can answer all of these needs. specialists. Using artificial intelligence to automatically judge the key parts of the image enlargement, the diagnosis is brief, thereby reducing patient discomfort and reducing the burden placed on the hospital staff in terms of scheduling and training. That hardware-software combination is...

The Solutions Are Here While the AI technology is not new, in fact it’s been around for decades in some instances, there’s been a recent surge of microprocessors and algorithms that are designed specifically for AI in medical applications. Those CPUs are deployed in Wincomm Corp.’s AI-powered medical panel PCs (the WMP-19K/22K/24K). The platform is designed with Intel’s 9th Generation Coffee Lake processor family and a touch panel that ranges in size from 19 to 24 in. The high-end CPU choice permits much higher performance when compared to conventional medical-grade platforms. Simple operation...