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Artificial intelligence (AI) consists of smart computer programs that can learn from massive data, make conclusions and change their working …
Artificial intelligence (AI) consists of smart computer programs that can learn from massive data, make conclusions and change their working pattern. They can help with health predictions, diagnosis and even treatment.
Computer AI may be quite smart and even beat humans in many things like playing chess, but it still follows strict rules and cannot make decisions independently. While true artificial intelligence does not exist, programs are smart enough to help us with everyday issues.
Artificial intelligence is not a new thing. Algorithms that could solve problems have existed since the early days of computing. Computers were made for data crunching and problem-solving from day one.
AI differs from conventional algorithms with its deep learning ability. By analyzing a colossal amount of data, AI can recognize patterns, learn from them and make changes to the algorithms. Through this ability to learn and enact patterns, AI-based programs can keep improving.
There have been numerous enabling factors in AI, the most important ones being increased processing speed and availability of massive data due to cloud computing or networks. Progress in other fields of computing has also been helpful in the development of AI, like language processing, image processing and sensing physical movements.
To get a better understanding of how AI works, let’s take an example of a diagnosis of a hand fracture. A doctor can make a diagnosis by analyzing symptoms and looking at the X-ray. Doctors learn the science of diagnosis both through textbooks (logic or algorithm) and experience (data-based learning).
An AI algorithm is created similarly. The program writer feeds information regarding signs and symptoms of bone fracture into the program and creates algorithms. The AI can be programmed to analyze X-ray images — research has shown AI can display accuracy equivalent to a human radiologist when performing focused tasks. Thanks to deep learning, it can keep improving its analytic abilities, thus making a diagnosis. The more the AI system is used, the better it becomes.
As one can guess by now, AI has some benefits over humans. For example, the doctor may take decades to see and learn from a few thousand patients and improve their skills. In contrast, the AI system can learn quickly from millions of case studies already available on the servers in the form of electronic health records. Over time, the AI system can better diagnose and even treat diseases and conditions.
An excellent example of how AI can perform better than human doctors is the Quartz AI, which can take a picture of the retina and predict the risk of heart disease much more quickly and with more accuracy than humans. After all, AI can analyze the data of millions or even billions of patients over time and keep improving itself. The Quartz AI in this study can gather data from a large pool of patients because blood testing is not needed.
AI offers many benefits for the future of health care, with the heart disease study being only one of many opportunities for quicker and more cost-effective testing and health predictions. Below are more advantages of using this technology to improve medical care:
Real-time information: AI calculates results faster than human physicians, providing real-time information that can lessen patient wait times and allow for more timely preventive treatment. Real-time data can also help improve patient-physician relationships by keeping diagnoses and treatments transparent and easily accessible for patients. Similarly, doctors can quickly learn of patient emergencies or updates.
AI is not a science fantasy — it is already playing a role in some fields of medicine. It is more common than many imagine. To a degree, everyone is using AI, even in developing nations. One field you will often find AI in is hospital medicine. In hospital medicine, AI tools are more commonly used in cardiology, neurology and cancer treatment. These tools are not always overly complex, either — AI can be a simple phone application or a more sophisticated program like IBM Watson.
Other examples of how AI is used in health care include the following:
In the case of medical care, this does not seem possible in the visible future. It’s well known that automation may make many kinds of jobs redundant, but human physicians are still needed for many aspects of patient care. AI will be more like an assistant rather than completely taking over the doctor role.
Researchers think AI will help improve medicine by doing repetitive and mundane tasks. Nowadays, doctors are too busy, and they do not provide as much attention to the patients because their priority is to give the right diagnosis and treatment. By AI systems offering accurate diagnosis and treatment, doctors can focus more on providing care and communicating with patients. AI will help bring back that human touch to medicine that has been long lost.
The future of AI in health care is only beginning. MicroHealth can help you prepare for these advancements with white-glove IT services from experts well-versed in health care. We can handle any IT-related task your organization needs to be completed, including network creation and support, custom EHR system creation, health care interoperability and cybersecurity protocols.
Our health informatics services and support help you use AI and other tools to streamline information flow and personalize patient experiences, among many other tasks. Connect with us today to start benefiting from our IT and AI health care services.