The Researchers have used various AI and based techniques like machine learning and deep learning models to detect the diseases like skin liver and heart etc. what should need to be recognized early. The related works have introduced the techniques such as Boltzmann machine and K nearest neighbor and their support vector machine decision tree and artificial neural networks to diagnose diseases and their accuracy. The used a back and propagation neural network to diagnose skin diseases to achieve the highest accuracy. The authors used the real data collected by the dermatology department. They used a recursive neural network to diagnose the hepatitis virus and achieved very amount while a feedforward neural network achieved and obtained most areas under the curve using residual neural network and long and term memory to diagnose gastrointestinal diseases. The Khan and Member also introduced a computational orchestration framework to retrieve the project data. They proposed a five and stage machine learning pipeline and further dividing each stage into different sub the layers. They built the framework of the classifier with changing and information and highlighted the selection procedures included in the test and test plan. The studied the characteristics of digital breast tomosynthesis over time and detected the cancer during screening of residents.
The diseases are usually quantified by signs and symptoms. A sign is an identified objective aspect of a disease that can be ascertained by a physician and while a symptom is a specific sign of a patient and disease. Each disease has different signs and symptoms and such as fever and which occurs in countless conditions. The system plan is the basic abstract design of the system. It covers the framework and their views that how the framework works and how the framework works under clear conditions. A good understanding of the frame and their design can help the customer see the limitations and limitations of the frame.
Changing The Way Medicine Is Practiced
The AI is also changing the way medicine is practiced and allowing scientists to study human diseases in much more detail. The Machine learning algorithms can help scientists understand how the diseases work and how to treat them. This allows doctors to find the new ways to treat patients and avoid dangerous treatments. The medical professionals use AI to diagnose diseases and predict the treatment outcomes. It can also help the physicians with treatment planning by providing insight into how patients would respond to different treatments or situations.
Reduce The Use Of Harmful Drugs
The AI can help prevent or reduce the use of harmful drugs by teaching computers to read and medical text and images. This means computers can learn from examples of poor health practices and making future medical professionals less likely to use them in similar cases.
Artificial Intelligence With Health
The AI can help you identify and treat health problems earlier and which can save you time and money. The AI can also help find new treatments for existing diseases. The AI can help you make better decisions about that your health by helping you monitor and analyze your health data.