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Файл:Intelligent data analysis in medicine. Study aid
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For example, in the Primu.Online application for doctors, it is planned to
introduce AI to analyze symptoms and translate appointment records into text format.
In addition, Google has developed an algorithm that detects diabetic retinopathy
using a photograph of the retina. This way, doctors can avoid routine tasks and
diagnostic complexities to focus on treatment.
Many large companies, such as Sber, are working on telemedicine applications.
The SberHealth app uses AI to recognize symptoms. Before an online consultation, it
assumes diagnoses and, based on this, advises the client of a doctor. This reduces the
burden on healthcare providers while allowing patients to monitor their condition more
closely.
Prospects for the AI use
Google Health is a service that brings together a variety of services for both
patients and doctors. With the help of AI, it helps prevent blindness, detect breast
cancer at an early stage, support mental health, etc.
However, the latest technologies are now opposed by their high cost and people’s
distrust of machines. In addition, many developing countries lack equipment and funds
to implement AI in medicine. Therefore, to satisfy the audience, you need to create
optimal products. For example, simpler and cheaper AI systems will make medicine
more accessible, and high-quality marketing and positive reviews will convince
customers of the benefits of AI. In addition, according to research, the market for AI
in medicine will grow rapidly in the next few years.
Questions for self-control
1. What is the problem with storing patient data regarding diagnosis?
2. What machine learning and data mining methods are used to develop
diagnostic systems?
3. How can artificial intelligence methods be used to create drugs?
4. What is the process automation in medicine? What technologies can be used
for this?
5. Outline the key prospects for the use of artificial intelligence in medicine.
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