The application of artificial intelligence in the medical field.
With the continuous learning and training of various algorithms, more and more artificial intelligence in the field of medical care has made more and more intelligent technology, and the patient experience has been improved.
Most artificial intelligence use enhances intelligence in the medical field, enhances the output of intelligent collection algorithms, provides the results of clinicians to obtain analysis results, and play an important quality control role in the process of providing services. In order to strengthen human intelligence, rather than replace human intelligence, we focus on technology.
For example, consumer electronics companies like Apple use artificial intelligence to help individuals maintain their understanding of their own health. When the user's heart rate is abnormal, some wristband devices with heart rate monitoring functions can be notified and can provide relevant information to their doctors. Doctors are also expanding their ability to conduct remote monitoring for patients by running FDA certification technology on artificial intelligence engines. For example, the solution of the CurenthealthHalth provides the ability to monitor and worsen health measurement of life signs.
Many companies actively deploy artificial intelligence in the field of medical -grade non -hospitalized heart monitoring for electrocardiogram records and arrhythmia testing. Using artificial intelligence can better improve the treatment effect of patients, rather than traditional technologies such as regular or traditional machine learning algorithms (for Hollter monitor). Not too complicated algorithms usually cannot provide a high enough diagnostic rate, so doctors cannot obtain a clear diagnosis without repeated monitoring. The use of artificial intelligence not only makes personalized medical care more realistic, but also further expands the ability of the medical system. It can provide services to the public in remote areas or may not be accessible to the clinic.
Artificial intelligence and machine learning for monitoring heart care.
In addition to the beneficial to patients, artificial intelligence can also liberate doctors' administrative background, such as screening and management of large data sets, so that they can focus on the use of clinical skills to take care of patients.
Artificial intelligence can recognize a model that human beings cannot recognize. For example, the heart beating an average of about 1.5 million times in two weeks, and the doctor may have to find a period of time in six seconds to judge the clinical results. Finding things that have clinical significance can be said to be a needle, and artificial intelligence can ensure a higher level of scale accuracy.
Suppliers, data science teams and artificial intelligence need clean data and a lot of data to reach this level of reliability. This large -scale data expansion requires complex analysis methods, and machine learning and deep learning algorithms can be realized. In the past ten years, in some scientific fields, the deep learning of machine learning subsets has reached the level of matching with human performance. More traditional machine learning methods are based on the characteristics of human collection. Deep learning algorithms are different from more traditional machine learning methods. Deep learning algorithm uses the results of artificial neural network prediction, which has the advantages of automatic learning from the original data. Therefore, deep learning algorithms can use a large number of annotation instance data and important data lte iot.
Artificial intelligence innovation in the next stage of medical field.
Artificial intelligence has broad development prospects in the field of health care, and we have just begun. Last year, the Biden government established an artificial intelligence work team to make the government easier to obtain data and expand the opportunities to obtain key resources and educational tools in order to continuously stimulate artificial intelligence innovation. The move is based on the 2020 bill, including a five -year budget of $ 250 million.
With the increase of artificial intelligence innovation, the next frontier of artificial intelligence and wearable devices will be the risk prediction of the expansion of prediction capabilities from clinical review reports to future situations. In the field of medical care, in addition to ensuring that patients get appropriate preventive medical care, the key will also determine which patient groups are monitored and when they are monitored and analyzed health risks.
Artificial intelligence innovation is changing medical services. Artificial intelligence innovation can improve patient experience, reduce the administrative burden of patients, doctors and nursing teams, and improve health effects. There is no doubt that our further investment and technical progress of our care for remote patients will completely change. In order to cope with the current and future challenges, the medical system is constantly developing. Due to the recent new crown epidemic, the momentum of remote care and artificial intelligence will continue.
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