With the advancement of artificial intelligence (AI) technology, it is now possible to make a takeaway, plan a trip or simply unlock the phone, all through the interaction with AI. There are many people who say that AI is expected to bring about revolutionary changes like the discovery of electricity.
Among them, health care that faces many major challenges, such as a growing and aging population, is seen as the most in need of introducing revolutionary technology. But although AI is expected to bring many positive developments in the medical field, it has not yet been realized, and there is not much evidence that the technology can have a substantial impact.
Among the many AI-worthy features, it is the ability to find complex and valuable information in large amounts of data. For example, after entering millions of X-ray images in an AI application and learning, the AI ​​can detect where an unusual condition is in an instant, or train a machine to detect subtle signs of deterioration of the patient. Automated monitoring by humans.
A single AI system can serve a wide range of patients at the same time and will contribute significantly to cost savings. In addition to reducing costs, AI is expected to significantly improve the quality and consistency of care. For example, the AI ​​system, known as the deep neural network, has demonstrated greater efficiency than human physicians in identifying areas of early blindness or distinguishing between cancerous and non-cancerous skin imperfections.
AI technology can also dramatically improve the patient's medical experience. Through AI application, it can also assist doctors in their daily administrative affairs, so that doctors can have more time to interact with patients and provide better service quality. Compared with patients diagnosed with a group of similar symptoms, physicians using AI technology can develop more personalized treatments based on patient electronic medical records, smart phones, wearable devices, and even genetic data analysis of patients.
In view of the above advantages including cost saving, improved medical quality and patient experience, it is difficult to imagine why AI technology has been used in clinical use to date. There are several major factors that can be explored when such a gap occurs.
First, it is a significant impediment to privacy and data security. Given that AI's development in the medical field mainly involves multi-disciplinary cooperation including medical institutions, academic institutions and businesses, it is difficult to ensure that all data is stored anonymously and stored securely and legally.
Secondly, there is a so-called emerging "digital barrier" in the medical field, that is, the younger generation with a healthier body is more likely to use new technology. In contrast, older people with more physical conditions are less likely or unable to fully utilize these new technologies. This also means that the influence of new technologies such as AI is limited to a certain extent, and it is difficult for some populations to make greater progress.
A viable solution is to support older people or their caregivers to participate in digital healthcare on a regular basis, as well as to redesign AI technology to replace complex option interfaces in a more direct and convenient way, for example The Smart Voice Assistant feature directs conversations, allowing technology to cater to users, rather than letting users move to technology.
Moreover, another obstacle is the general inertia of the adoption of new technology in the medical field. At present, there are still many medical institutions that use paper and pen to log in data, so that they can be effectively interoperable and interoperable with other medical institutions. This also makes it more difficult to collect sufficient data to train AI.
At the same time, more and more people are adopting new technologies such as artificial intelligence and big data, especially after many self-driving accidents, people are worried about these technologies.
With a general negative perception, it is increasingly difficult to obtain patient consent or to persuade medical experts to participate in relevant clinical trials, which is detrimental to the development of new medical technologies. Therefore, how to change people's perception and persuade experts AI's value in the medical field is very different from other fields, and still need more efforts in the medical community.
Finally, the biggest controversy is that who is responsible for the AI ​​diagnosis or judgment error? This issue has not yet been clearly defined. One of the major problems with AI technology is that the system is quite complex, and there is often no clear logical basis for getting judged or making recommendations.
When it is not clear how the system makes decisions, it will be difficult to take responsibility or even take precautions to avoid making the same mistakes again. Therefore, many experts have begun to develop machine learning algorithms that can be followed, hoping to clarify the logic of the AI ​​system in making decisions.
The integration of AI technology in the medical field will be gradual and will gradually advance as patients, physicians and policy makers become aware of the potential of AI to improve quality of care and reduce costs. How to develop an appropriate data sharing framework, the creation of powerful performance verification methods by regulatory agencies, and the upgrading of the medical infrastructure of medical institutions will help accelerate the development of AI in the medical field.
One thing is certain now, that is, when AI is widely adopted in the medical field, it will bring about revolutionary changes.
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