When AI is mentioned, everyone thinks of robots, self-driven cars, and so on, but AI is a lot more than that. AI is a revolutionary technology that is causing a lot of changes in most industries. To be precise, AI is impacting a lot of changes in the Healthcare sector and is continuing to change the way medication is administered in a better and more life-changing way than ever. AI in healthcare applications is changing three sectors. These are, diagnosis, engagement, and digitization of the healthcare system. Many breakthroughs have shown that the future in the use of AI in health care is great. We can go through point by point on how AI has changed healthcare in the world.

Help in administering medication

Every sector of health care has been impacted by innovations that have been realized by AI, be it clinical operations, drug development, or even surgery and data management. AI technology is promising a better future for everyone who might be having the condition in the body. With AI it will be easy to access multiple sources of data regarding patients and be able to reveal patterns in disease and with such, it will be able to aid in treating certain conditions and diseases and also give care to the patient as well. Besides, AI will also be able to predict risks that a patient can undergo with a certain disease, and will such predictions, it may go even further to give a preventative measure that can be deployed.

Improve efficiency and Waiting time reduction

AI has helped in reducing time wasted while waiting for treatment. People almost die while waiting for them to get administered in the hospital and treatment process to start. With AI, doctors and nurses can know which patient is in bad condition, that is who needs emergency care. AI has gone further to know which patient, after being admitted, is in stable condition and who is ready to leave the hospital. By use of vital signs such as blood pressure, breathing speed, temperature, oxygen level, and heart rate, the AI system can know exactly what to do with the patient.

Tackling Shortage by use of Robot Doctors

Due to the shortage of doctors in some fields, AI has changed the situation by integrating sophisticated analytical tools to help doctors in the health field to deal with diagnosing cancer patients and other diseases. It does this by using deep learning systems, neural networks, and learning algorithms that help in teaching robots to understands the disease patterns and ultimately make the best decision by use of stored knowledge.

AI continues to help doctors as best knowledge from best doctors and best knowledge is stored in robots that help in administering medication saving many lives at the end. Robot doctors are filling the gap in places where we do not have doctors that are specialists in different fields of medication. It is now easy to get the best knowledge from specialists and feed it to robots for it to be used in places where there is a lack of such specialty. It is hard for robot doctors to make errors, they will always make an informed decision, which is different from human doctors. Robots have reduced treatment time by diagnosing diseases faster and help in detecting diseases.

Assisted surgeons

Surgeries have also been boosted by the use of robots in helping doctors by acting as consultants, giving information, and the best practices in times of need. Besides, robots are also used in transport, to help in navigating hospital to deliver medical supplies within the hospital.

Research and Drug discovery

AI has helped a lot in research that has brought great results in discovering vaccines and better ways of treating diseases. Many companies have heavily invested in AI technology to help in the build system that can help in drug discovery by the use of deep learning and AI knowledge. Intelligent simulations and analysis of better cures are being done by the use of AI.

Lastly, as we advance in AI technology, many are still worried that robots may soon replace doctors and humans become irrelevant because robots may give error-free medication. Besides, digitization of medical service may cost people jobs too, like computers that can read medical scans instead of people translating what is in the scan. Even though there are fears, but still we need physical doctors and people, robots and AI will just help in making healthcare better and assist in efficiently streamlining the delivery of services.

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