Image Courtesy: Medical Futurist

Artificial Intelligence is rapidly transforming the world as computers now have become powerful enough to handle complex AI computations. Also, machine learning algorithms have become more accurate and faster than ever. Now the technology has entered into healthcare, promising to save the quality of life and improve health care services.

With the ability to assess data in real-time, AI allows medical professionals to improve patient care and ultimately save lives. It also gives doctors the opportunity to get to the root of medical issues faster and resolve them before they become major problems for patients. Moreover, AI in today's medical procedures assists caregivers to envisage and prevent cases of leading diseases that cause of death in hospitals across the globe.

By leveraging AI, healthcare professionals can get a complete picture of a patient's' health history and make more effective personalized care decisions. So, how really could AI make differences in healthcare?

Predictive Diagnosis 

AI is crucial in detecting illnesses and diseases before they happen which is also a pillar of modern healthcare. Driven by AI, predictive analytics cut down manual data processing, which helps medical professionals to predict medical issues faster and resolve them before they become a major problem for patients. For instance, today's radiology scanners combine various aspects of AI to improve cancer detection and support doctors to prescribe better treatment. Wearables also are allowing doctors to analyse the patients in real-time with more precisely as more and more individuals are adopting wearable technology.

Virtual Consultant

Today, the virtual or digital diagnosis process is not new as there have been medical diagnostic systems online or on the phone. But it is imperative because it creates doctor-patient consultation and feels more convenient for those unable to visit the hospital. Thus, both researchers and companies are working on developing AI that could extract useful and valuable information from a doctor-patient consultation and input it directly into the patients' health records. So, instead of following blindly a checklist, AI digital consultation systems learn from millions of real case files to ask queries that are pertinent to the particular patient.

Finding Right Data

Providing patients with the most innovative, up-to-date care possible, medical professionals need to grasp as much of health data as they can. However, it is not possible for healthcare providers to keep up with the amount of research and discoveries being done. So, to keep caregivers in sync with new medical developments, healthcare organizations leverage AI to analyze and process all of this new research data to assist doctors to come up with the most effective, cutting-edge diagnoses and care plans for patients.

Personalized Medicine

AI is destined to move medical treatment away from conventional, one-size-fits-all options to more personalized solutions. Today, several personalized medicine options are slightly available more than fads, but it could change by using AI. As more and more data is gleaned and assessed by deep learning models, personalized medicine may well become a commonplace. However, it rolls out at the diagnosis stage where AI-enabled personalized medicine may able to analyze a person's personal genome and determine what treatments are most likely to be effective.