Artificial intelligence (AI) is gradually marking itself as an important aspect of modern healthcare. Medicine is one field that requires the use of technology, thus the increased Human expectation for better and improved health care makes it vital for physicians to produce tools for improving health care, which can only be achieved with the application of AI.
Examples of AI that have made enormous contributions to health care are the innovative Google’s Deep Mind which is transforming eye care and the IBM Watson designed to tackle diagnoses of cancer patients with the hope of bringing the promise of fastidiousness. Both of these AI technologies adopts a concept known as deep-learning which is applicable to diagnostics, it loosely mirrors how the human brain work by having the software analyzing an exorbitant amount of data with various patterns.
As the medical imaging continues to fully utilize every new deep-learning AI, a major setback would be the lack of swift evolving of the computing technology on which it relies. Kimberley Powell, the COE of Nvidia, a leading company in medical AI, is assertive that Nvidia’s processors go beyond meeting the standards of deep-learning in medical imaging but taking the industry to the next level.
With the advancement of Nvidia’s technology, Powell is very optimistic that soon, the application of some of Nvidia’s products will be widely adopted in hospitals and medical research centers around the globe. One of such product is the DGX-1 which is an extremely powerful deep-learning product that will help promote the standard of medical health care in developing countries, the DGX-1 helps in a great way to increase the reliability of diagnostic procedures. With the aid of Nvidia’s DGX-1, hospitals and healthcare centers are able to compare a patient’s diagnostic result and previous results from an array of other patients. As a matter of fact, some medical research centers have adopted the use of automated systems such as MIRs, CT scans, and X-rays to assist human physicians in the process of diagnosing patients.
AI has contributed immensely to the health care in prodigious ways such as mining medical data, diagnosing an illness from series of questions, analyzing blood tests more accurately within a short time, medical imaging, studying genomics-based data for personalized medicine, and making life more comfortable for the disabled etc. However, in future, AI is going to play a major role in health care, but this does not necessarily mean that AI will completely replace human physicians.