Health care is one of the first things that we think about when we think of how Artificial Intelligence (AI) and machine learning are changing the world. That is because the medical field was one of the first fields to introduce AI technology into layman’s speak or mainstream conversation.
Still, the conversation has been had long before the medical world began to teach us about what AI is and how it can enrich and even save our lives. When we think of AI in health care, the first thing that many people think about are robotic arms, surgical machines replacing humans, and things of this nature.
But today, AI in health care is so much more than that. AI in health care is changing the way health care is delivered and accessed by humans all over the planet.
From diagnosis to end-of-life care, AI is helping us to be healthier, while it is providing more productive and streamlined processes within every healthcare system. Learn more about how AI has revolutionized health care here, and what we can expect from it in the future.
Patient Care is Improving
The goal of every change in every healthcare system is to improve patient care. That is the product and service that is being delivered. Still, in many systems, the bottom dollar is the motivating factor behind many decisions. Will this surgery be too expensive? This decision made wrong can end a life. AI helps with the improvement of patient care, from the delivery of services to the management and administration of every record.
Practitioners and administrators can now see more patterns and trends in their care delivery systems which will, in the end, improve patient care.
In a world where pandemics can close doors and borders in a 30-second time span, improved patient care is critical. Without AI, the prediction of trends that resulted in these decisions may have occurred days or weeks later and cost an untold number of lives.
Additionally, the burdens on an already burdened system would have been far more extraordinary than they already are.
AI and machine learning, along with deep learning, help patients to get the care that they need, and administrators to access the information they need to make the best decisions for them. The end result is going to be about better patient care. AI in medicine is not just about robotic arms anymore.
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Diagnostics Are Enhanced With AI
Medical imaging lies at the crux of millions if not billions of medical decisions every day in the world. AI is changing that too. AI-powered technology in the field of health care is saving lives, and helping doctors be better at their own craft. Today’s AI technology in imaging and diagnostics can locate illnesses and problems faster than the trained eyes of a seasoned radiologist who has undergone years of medical school and training.
When doctors once said, “We think this is XYZ”, they now say, “This is XYZ because this machine found it for us.” You will see advancements in CT scanning, X-ray equipment, and MRIs that make those machines function in a way that they never could when they were first invented. This reduces the risk of doctor error and increases the rate of accurate diagnoses.
AI in diagnostics can detect problems faster and earlier with a higher accuracy rate than a human who has been trained to detect them can.
Treatments Are Revolutionized With AI
Once a diagnostic has been performed on a patient, the next step is the treatment plan for the patient.
AI and machine learning can help to analyze large quantities of data, from blood samples to diagnostic imaging to help a doctor and a patient’s team come to a treatment plan. AI predicts patterns and trends and can help a doctor reach a treatment plan faster than a doctor can do so on their own.
Machine learning can make predictions on what would be the best protocol for a patient. A doctor can still put the decision in the patient’s hands but will have a greater chance of guiding the patient to the best decision when predicted outcomes are clearly explained.
Applications of deep learning occurring in health care can use existing neural networks and hardware to provide predictions on what will happen in case A or case B when a doctor has two patients that make different choices. The doctor can use human examples, in conjunction with deep learning outputs to help guide other patients to similar decisions.
AI does replace humans, but humans are still needed for the administration of appropriate healthcare services. The treatments are revolutionized by it, and by definition, so too will the outcomes.
Reducing Errors in Medical Records With AI
Medical records are an important part of our lives, with many areas of our lives requesting them for one purpose or another. One error in them can end a life, or alter the outcome. And this still happens. This part of health care is becoming a thing of the past with AI technology and machine learning being used in the use of medical records.
Now, healthcare systems can share records and diagnostics with services all over the nation, and even the world.
Natural language processing or NLP in the world of AI, is an approach used to streamline clinical documentation and research in the medical field. This is an important component of both deep learning and machine learning that has changed the way medical records are used and applied.
From the transcription of medical records to the delivery of medical records, AI is changing health care here too.
Learn More About AI
AI technology and machine learning are critical elements of the world of technology that are revolutionizing the way health care is delivered today.
From diagnostics to end-of-life care, machine learning and deep learning strategies are discovering trends and using patterns to change outcomes and deliver better quality of care. Learn more about AI and its position in changing the world in health care today.