| Abstrakt: |
Dentistry is an ever-evolving field, and nowadays, there's a strong emphasis on harnessing technology to improve the diagnosis and treatment of dental diseases. We all know how common issues like cavities, gum disease, and oral infections can lead to serious oral health problems if not dealt with properly. In the past, dentists relied solely on their skills and experience to diagnose these conditions. They would manually examine patients, study the data, and take into consideration the patient's medical history to arrive at a diagnosis. While this approach has served dentistry well for many years, it does come with its limitations. One of the drawbacks is the possibility of human errors and biases affecting the accuracy of diagnoses. Additionally, the time-consuming process of manually analyzing large datasets slows down the diagnosis. What's more, the traditional approach lacks the ability to integrate real-time updates from the latest dental research and advancements in dental care. As a result, there's a growing demand for a smarter system that can aid dentists in making quicker and more precise diagnoses. To address these challenges and improve the accuracy and efficiency of dental disease diagnosis, experts have been exploring the potential of expert systems, a type of artificial intelligence (AI) that mimics human decision-making abilities. These systems have the capacity to revolutionize dental diagnosis by providing timely and accurate assessments, leading to more effective treatment plans and better patient outcomes. [ABSTRACT FROM AUTHOR] |
