Technology

Application of artificial intelligence in healthcare: how artificial intelligence shapes medicine

Today, the healthcare industry increasingly uses artificial intelligence technology to improve patient care and improve process efficiency. In recent years, the application of artificial intelligence in healthcare has been increasing, partly because medical service providers want to expand medical services, and partly because of the maturity of artificial intelligence itself-artificial intelligence has made rapid progress in the past few years development of.

At this time, artificial intelligence in the healthcare field has crossed many core areas of medicine. From diagnosis to health and health care, to the application of smart devices, artificial intelligence has formed various forms to a certain extent.

In many ways, artificial intelligence technology has become the “second-tier” guarantee for healthcare providers. This is because artificial intelligence software can adapt without human intervention, so it can learn by itself to meet human health needs.

It is not surprising that many top artificial intelligence companies are taking advantage of this trend. As investment in artificial intelligence technology grows, it is expected that there will be more artificial intelligence use cases for healthcare in the coming years.

In addition, many companies can now use artificial intelligence as a service, or use cloud-based artificial intelligence services to build their own smart applications. With big data in healthcare, artificial intelligence in healthcare is quickly becoming a decisive factor. Let’s take a look at the current status of the application of artificial intelligence in healthcare.

Application of Artificial Intelligence in Healthcare

Antibiotic resistance

Antibiotics help keep people healthy. However, their widespread use has led to the production of antibiotic-resistant bacteria, causing 70,000 deaths worldwide each year. Researchers use machine learning (an artificial intelligence technology) to identify genes in bacteria that cause antibiotic resistance.

Artificial intelligence is also used to identify pre-symptomatic patterns in electronic medical records (EHR) in order to send alerts to health care providers more and earlier.

Brain-computer interface

Brain-computer interfaces are not currently mainstream technology. However, people are very interested in this field because brain-computer interfaces can replace other types of computer interfaces, which is particularly useful for people with permanent or temporary disabilities.

For example, a brain-machine interface that supports artificial intelligence can help stroke patients communicate with rehabilitation medical service providers soon after a stroke, rather than after rehabilitation treatment.

heart disease

Artificial intelligence has been used in cardiology for more than 20 years, but in view of affecting the life and death consequences of heart disease, its progress is slow. An example of the use of artificial intelligence is an implantable defibrillator, which can monitor the heart rhythm of patients at risk of heart attack. If necessary, the device will also apply electric shock.

In the long run, data from wearable devices and implants will be combined with electronic medical records (EHR) for continuous patient monitoring so doctors can get more up-to-date information about their patients.

Applications in developing countries

Developing and developed countries have different problems. Developed countries are interested in more complex forms of artificial intelligence, while developing countries are more concerned about providing basic services, including medical care, to poor people in remote areas. Life in poverty and remote areas is often closely linked.

Therefore, developing countries are using artificial intelligence to provide medical services to those who could not get medical services. Specifically, by pushing medical information to community members through mobile devices, community members can read and take appropriate actions.

Medical staff can also use mobile devices to take pictures of patient symptoms, and the image recognition system compares these symptoms to similar images to diagnose the disease.

Electronic health records

Electronic health records (HER) have not completely replaced paper records, and even if their use is widespread, receptionists, medical assistants, and doctors have to do a lot of manual input.

Here, voice recognition replaces the keyboard. Therefore, users can simply say the information they want to record in the electronic health record (HER) instead of typing in the system.

The video-based image recognition function may supplement the electronic health record (HER) in the future, because it can provide a further understanding of the patient’s condition analyzed by artificial intelligence, which doctors may ignore or miss.

For example, the image analysis system can determine when the patient is in pain, which may indicate the behavior of looking for analgesic anesthetic drugs.

Health and wellness

Although medical-grade devices can track more information, more and more patients can wear portable devices or smart watches for monitoring. The function of these devices depends on their design and complexity.

They can provide insights into heart rate, oxygen levels, blood sugar levels, sleep patterns, breathing, gait, etc., and provide healthcare providers with information they cannot obtain during appointments.

For example, the recovery of a stroke patient may show improvement based on the patient’s gait, and early signs of a heart attack may mean the difference between the need for surgery and the absence of surgery. Artificial intelligence identifies patterns in the data to determine the patient’s current health status.

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