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 : A systematic review on the early detection of oral cancer using artificial intelligence and electronic tongue technology
Maryam, Kardan Dental Clinic, Iran (Islamic Republic of)
Title : Cutaneous, Cranial, skeletal and dental defects in patients with Goltz syndrome
Ali Al Kaissi, National Ilizarov Medical Research Center for Traumatology and Orthopaedics, Russian Federation
Title : Artificial intelligence in clinical decision making in third molar surgery
Tannaz Pourlak, Tabriz University of Medical Sciences, Iran (Islamic Republic of)
Title : The role of vitamins and nutritional supplements in temporomandibular joint disorders (TMDs) among Yemeni population
Muharrm Abdo Bazza Othman, Yemen Dental Association, Yemen
Title : The nature and management of dental erosion in patients with bulimia nervosa
Maya Fahy, The Royal Victoria, School of Dentistry, United Kingdom
Title : Evaluating hygienist follow up for head and neck oncology patients in secondary care: Results from a two cycle audit
Peter Basta, Newcastle Dental Hospital, United Kingdom