Artificial Intelligence and Healthcare?

Virtual Surgery Intelligence (VSI) transforms CT and MRI data into a three-dimensional visual representation that opens up new possibilities in surgery, diagnosis, and patient consultation, according to future.hamburg. It is the modern day implementation of the growing idea of artificial intelligence in the field of medicine.

One interesting example comes from a company with the same name: VSI, a division of apoQlar. Together, they develop innovative medical applications using cutting-edge technologies. Their VSI equipment is designed to assist surgeons before, during, and after surgery.

Source: VSI.health

At present, solutions can be used for neurosurgery, plastic surgery, radiology, and oral surgery, among a number of others.

This is a practical implementation of artificial intelligence AI with all its amazing benefits to make the medical world a little less scary, more understandable, and palatable to patients.

In a recent article, Forbes listed 9 other practical examples of the current applications of AI in the field of healthcare:

• remote patient monitoring,
• genome analysis,
• improving diagnostics,
• detecting skin cancer,
• improve medical imaging,
• predicting tumour response to chemotherapy,
• analysis of DNA in order to provide custom cancer treatments, providing personalized care,
• prediction of Alzheimer’s and dementia, and
• prediction of osteoarthritis enabling earlier intervention


In the same article, it was mentioned that Intel would invest (US) $1B in AI and Healthcare. Based on an April 2018 study by Convergys Analytics, the timing couldn’t be better since “91 percent of respondents believing [AI] will provide predictive analytics for early intervention, 88 percent saying the technology will improve care, and 83 percent saying it will improve accuracy of medical diagnoses.” (Source: Intel 

Intel positions its Xeon Scalable processor as the “ideal computational foundation” for healthcare organizations performing AI workloads. Xeon Scalable processors can provide a terabyte of onboard memory, which can provide a higher level of resolution for medical imaging purposes than what can be achieved with GPUs.

CIARA’s ORION RS-series of rackmount servers are equipped with Intel® Xeon® Processor Scalable Family to meet the demanding requirements of healthcare workloads in emerging technologies.

Of course, cost-savings are a significant benefit of AI applications in healthcare – reduced office visit costs by using virtual nurses in the form of intelligent chatbots and automation of repetitive tasks for doctors are but two economic advantages. But there are important human benefits: the time the doctor doesn’t spend on admin tasks can be spent with patients, and patients end up with better quality care.

In conclusion, VSI has been around for longer than you think. In our everyday lives, it has been able to enhance diagnostic accuracy that is critical for devastating disease in order to have a more positive prognosis and extend our lifespan. VSI is part of the new AI -- machines and humans helping each other to enjoy the fruits of technology.

To find out more about the ORION RS, contact a CIARA specialist. 

Intel Xeon AI healthcare ORION RS