Artificial Intelligence

Periodontitis is a multifactorial inflammatory disease characterized by progressive destruction of the periodontal supporting tissues, resulting from complex interactions between microbial biofilm and host immune responses. Conventional diagnostic approaches, including periodontal probing and radiographic evaluation, are limited by examiner variability and challenges in interpreting multiple interacting risk factors. In recent years, Artificial Intelligence (AI) has emerged as a promising adjunct in periodontology, enhancing diagnostic precision, risk assessment, and personalized treatment planning. AI applications in clinical periodontology include Natural Language Processing (NLP) for structured data extraction and improved clinical documentation, as well as machine learning and deep learning models for radiographic and clinical analysis. Artificial Neural Networks (ANNs) and Convolutional Neural Networks (CNNs) have demonstrated high accuracy in detecting periodontal bone loss, classifying disease severity, identifying implant systems, and predicting disease progression. Integration of radiographic, clinical, and multi-omics datasets further supports comprehensive risk profiling and precision-based care. Additionally, AI-assisted biomarker analysis using saliva and gingival crevicular fluid shows potential for non-invasive early detection. Emerging technologies such as smartphone-based monitoring systems, AI-enabled oral hygiene devices, and augmented/virtual reality–based educational tools enhance patient engagement and professional training. Despite challenges including data privacy concerns, ethical considerations, high implementation costs, and limited large-scale clinical validation, AI represents a valuable assistive technology that strengthens clinical decision-making and advances personalized periodontal care. This article aims to comprehensively discuss the current applications of artificial intelligence in periodontology, highlighting recent advancements, clinical implications, limitations, and future perspectives for integrating AI into routine periodontal practice. Keywords: Periodontitis; Artificial Intelligence; Deep Learning; Convolutional Neural Networks; Artificial Neural Networks; Natural Language Processing; Periodontal Diagnosis; Radiographic Analysis; Biomarkers;

Artificial intelligence (AI) focuses on creating intelligent models that help us envision knowledge, solve problems, and make decisions. AI is active these days, it plays an important role in various areas of pharmaceutical science, such as drug development and formulation of drug administration. For drug discovery and drug discovery research, such as development, poly-pharmacology, and hospital pharmacy, development of various artificial neural networks (ANNs) such as delivery formulations and Deep Neural networks (DNN) or recurrent neural networks (RNN) are used. Artificial intelligence (AI) focuses on creating intelligent models that help us envision knowledge, solve problems, and make decisions. AI is active these days, it plays an important role in various areas of pharmaceutical science, such as drug development and formulation of drug administration. For drug discovery and drug discovery research, such as development, poly-pharmacology, and hospital pharmacy. Development of various artificial neural networks (ANNs) such as delivery formulations and Deep Neural networks (DNN) or recurrent neural networks (RNN) are used.

Quantum computing the recently invented computing power helps in carrying out calculations at really high pace. This will in other way boost the power of Artificial intelligence and its advantages to research activities altogether. As quantum computing computes at the power of qubits, so the artificial intelligence which is the intelligence of human mind would be enhanced. Hence this letter has been written in order to emphasize the development of super human power in terms of computers, which means the research would be done at super human intelligence. Keywords: Artificial Intelligence, Quantum computing, Super Human research development, Molecular Research