Anyone that has been part of the healthcare industry in the past decade understands there are serious problems in almost every corner of the industry. Some people believe that advancing technology is the way to make medical practices more efficient, precise, and impactful. Could artificial intelligence be the force that drives healthcare into the future? Here are three possible ways AI could save medical practices everywhere.
Clinical imaging is no longer limited to the photos taken in a doctor’s office or at a hospital. United Kingdom researchers created a way to identify many developmental diseases by using algorithms to analyze pictures of children’s faces taken by smartphones. The program induced formula looks at facial structure, jawlines, and other features to determine possible abnormalities. Kang Zhang MD believes strongly in the use of AI in future medical diagnosis, and currently, the UK program can identify 90 disorders.
As consumers become more health-conscious, wearing devices that monitor heartbeats, the number of steps taken, and nightly sleep patterns have become the norm. As this health-related information becomes more available to product sellers, the AI algorithms can collect that valuable data about the consumer’s health and use it to generate possibilities, recommended changes in future health patterns, and can even notify medical practitioners of potential problems.
Programs that are written to monitor critical patients, quickly analyze body fluids, and note changes in muscle functions can be used to suggest problem areas staff should be aware of and watch more closely. This could include sepsis, breathing deterioration, or other deadly complications that can arise in ICU. By being able to intervene early in the process, the medical staff could save thousands of individuals a year from untimely death.
Medical practices are overburdened and drowning in red tape, paperwork, and new technologies. Artificial intelligence can ease the way for many clinicians by making care delivery more efficient and readily available. The real question is: Are humans ready for an AI doctor?