AI IN THE RESPIRATORY SYSTEM: RECENT TRENDS AND FUTURE PROSPECTS

Most doctors learn new things through artificial intelligence. This is owing to the fact that it contains a lot of medical data and high computing capabilities. This mixture has altered how researchers are thinking about novel concepts within the health sector. The impact of artificial intelligence on respiratory medicine is large as the diseases are so complex and the ways of diagnosing them are numerous. The treatment of respiratory problems is one of the sectors Artificial Intelligence is performing quite well as of now. It is a technology that aids doctors to maintain the lungs of their patients. Recent research results indicate that deep learning algorithms such as convolutional neural networks (CNNs) can identify lung nodules with relative precision as doctors. Such technologies could potentially determine the severity of an illness of a patient by examining the chest x-rays, similar to physicians. Artificial intelligence would be a great relief to individuals experiencing difficulty in respiration. It will assist us to create smarter and better systems that are compatible with each other. The digital twins are the simulated versions of the ailing individuals who are not real. They allow carrying out computer simulation of clinical trials and creating a highly personalized treatment plan with each patient. The AI can enhance therapies by simplifying the procedure of robotic bronchoscopy and simplifying the process of ventilating critically ill patients in real time. Individual and preventive respiratory therapy could be given to people, which could include various forms of data used, such as genetic, imaging, and real-world sensor data, which would allow us to fully comprehend diseases.