Although the impact of the full artificial intelligence on the world is still a mystery, it is increasingly obvious that artificial intelligence may soon provide us with a more accurate solution to solve previously undiscovered. Health problems. Although the digital transformation of healthcare is still slow and cautious, over 90% of hospitals have converted from paper to electronic systems in the past five years.
Although the impact of the full artificial intelligence on the world is still a mystery, it is increasingly obvious that artificial intelligence may soon provide us with a more accurate solution to solve previously undiscovered. Health problems.
Although the digital transformation of healthcare is still slow and cautious, over 90% of hospitals have switched from paper systems to electronic systems in the past five years.
There are currently three ways in which artificial intelligence can change health care.
Medical diagnosis
Past medical records are still essential for timely treatment. Life-threatening risks can be diagnosed early by predictive analysis. As a result, doctors can make quick decisions and take effective action to save lives and unnecessary expenses.
Interestingly, companies like Google and CareSkore are also involved, reducing the time between testing and treatment to simplify diagnosis. Although the Google DeepMind Health project is still in its infancy, it plans to use artificial intelligence to learn the most effective treatments for different patients. The search for medical records can be completed in just a few minutes, leaving enough room for early diagnosis and necessary treatment.
Another company, called CareSkore, is a Chicago-based cloud computing predictive analytics platform that uses machine learning to predict mortality. Last year, the company received $4.3 million in funding to promote the company's concept, including notifying doctors of patients who are more likely to make appointments and not take medicine. Through predictive analysis, CareSkore can update the re-hospitalization rate of patients in medical institutions, as well as other information such as hospitalization risk and death risk. The doctor can use this data to provide appropriate help and advice to the patient. Interestingly, patients can use the same technique to inform their doctor if new symptoms appear and more questions are asked. The system uses 23 environmental data sources, including Google Maps and Google API (application interface) to assess patients' clinical, social, behavioral, geographic, and economic data. Filtering allows users to focus on meaningful data and omit other unnecessary information.
Earlier this year, Stanford University reported that their computer scientists, dermatologists, and engineers are developing an algorithm that can detect skin rashes and rashes associated with skin cancer, which may help early detection of skin cancer. The software uses deep learning database images, an artificial intelligence that mimics the brain's neural network.
Prosthesis
Researchers are currently conducting research to provide computer vision-based assistive technology solutions and revolutionary medical services for amputated patients. According to recent statistics, there are as many as 500,000 upper extremity amputees in the United States, and 185,000 amputees are added each year. The artificial intelligence-oriented approach allows amputation patients to feel things with more real-life prostheses and change their lives.
This year, biomedical researchers at Newcastle University have developed a bionic arm with an artificial intelligence camera. Prototype prosthetics can be used to assess the shape and size of objects by applying computer vision technology installed in the camera. Researchers use deep learning techniques to identify objects that 500 wearers can automatically grab. So far, neural networks have allowed to identify objects that have been trained to be recognized, which means that artificial intelligence memory needs to be upgraded when new objects need to be identified.
Visual impairment
Artificial intelligence is also revolutionizing the lives of people with visual impairments. In order to reconstruct vision with artificial intelligence, Aipoly has helped more than 350,000 visually impaired people explore the world through the “Aipoly? Visionâ€. This app lets the neural network run on your phone, understand the camera's input, and describe what it sees. It also recognizes colors and objects, and in the upcoming version, it even understands the complex scenes, locations, and relationships between nearby objects.
Another application, called EyeSense, has made great strides in providing independence to the blind and visually impaired. This unique design is supported by advanced computer vision and artificial intelligence technologies that explain the visual world and describe it to you aloud.
For artificial intelligence, to be able to fully realize its potential in an industry that benefits itself, the results must be reliable and accurate. A major obstacle is the cost of artificial intelligence solutions created for basic health care needs. Secure access to data remains a worrying issue, so routine medical centers may delay the introduction of artificial intelligence.
However, if artificial intelligence maintains a high success rate during the testing and testing phases, accurate predictions can increase the chances of early diagnosis, reduce the cost of misdiagnosis, and completely change the current health care system.
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