Artificial Intelligence (AI) has emerged as a transformative force in the field of Periodontics, revolutionizing the way dental professionals diagnose, treat, and manage periodontal diseases. Through advanced algorithms and machine learning techniques, AI systems can analyze vast amounts of patient data to detect subtle patterns and trends that may not be apparent to the human eye. These AI-driven tools enable dentists to make more accurate diagnoses, predict disease progression, and tailor personalized treatment plans for each patient. Moreover, AI-powered imaging technologies, such as convolutional neural networks, enhance the interpretation of radiographs and intraoral scans, facilitating early detection of periodontal abnormalities and improving overall treatment outcomes. Additionally, AI-based virtual assistants streamline administrative tasks, optimize appointment scheduling, and enhance patient communication, ultimately improving the efficiency and productivity of periodontal practices. Furthermore, AI algorithms continuously learn and adapt from new data, ensuring that periodontal treatment approaches remain up-to-date and evidence-based. With its ability to augment clinical decision-making and enhance patient care, AI holds immense promise for advancing the field of Periodontics into a new era of precision medicine and personalized dental care.
Title : Principles of facial trauma surgery 2026
Steven J Traub, American Institute of Oral Biology, United States
Title : Artificial intelligence in dentistry: Overcoming diagnostic challenges in modern practice
Khoa Le, Eyes of AI, Australia
Title :
Zvi G Loewy, New York Medical College, United States
Title : Improving the quality of orthodontic clinical photography: A four cycle quality improvement project at the Royal Surrey County Hospital
Suhavi Singh, Royal Surrey County Hospital, United Kingdom
Title : Transition to digital workflows in a UK dental hospital: Strategy, implementation and early impact
Sinead Sutcliffe, Bristol Dental Hospital, United Kingdom
Title : Comparison of 980 nm diode laser and QMix solution alone and in combination for smear layer removal from root canal surface: A scanning electron microscope study
Quratul Ain Zafar, Royal College of Surgeons of Edinburgh, Pakistan