Artificial intelligence-powered dentistry: Probing the potential, challenges, and ethicality of artificial intelligence in dentistry
Introduction Healthcare amelioration is exponential to technological advancement. In the
recent era of automation, the consolidation of artificial intelligence (AI) in dentistry has …
recent era of automation, the consolidation of artificial intelligence (AI) in dentistry has …
Accuracy of Artificial Intelligence Models in the Prediction of Periodontitis: A Systematic Review
Introduction: Periodontitis is the main cause of tooth loss and is related to many systemic
diseases. Artificial intelligence (AI) in periodontics has the potential to improve the accuracy …
diseases. Artificial intelligence (AI) in periodontics has the potential to improve the accuracy …
Automated machine learning to develop predictive models of metabolic syndrome in patients with periodontal disease
Metabolic syndrome is experiencing a concerning and escalating rise in prevalence today.
The link between metabolic syndrome and periodontal disease is a highly relevant area of …
The link between metabolic syndrome and periodontal disease is a highly relevant area of …
Classification of periodontitis stage and grade using natural language processing techniques
Periodontitis is a complex and microbiome-related inflammatory condition impacting dental
supporting tissues. Emphasizing the potential of Clinical Decision Support Systems (CDSS) …
supporting tissues. Emphasizing the potential of Clinical Decision Support Systems (CDSS) …
[HTML][HTML] Biphasic calcium phosphate versus demineralized freeze-dried bone allograft in the treatment of periodontal disease: a clinical and radiographical evaluation
Aim The study aimed to clinically and radiographically evaluate the effect of biphasic
calcium phosphate (BCP) versus demineralized freeze-dried bone allograft (DFDBA) in …
calcium phosphate (BCP) versus demineralized freeze-dried bone allograft (DFDBA) in …
A comprehensive review on artificial intelligence-driven preprocessing, segmentation, and classification techniques for precision furcation analysis in radiographic …
M Juneja, N Aggarwal, SK Saini, S Pathak… - Multimedia Tools and …, 2024 - Springer
The early-stage detection of dental problems from radiolucency images was important for a
healthy oral function. X-Ray image was the most commonly used image modality in the …
healthy oral function. X-Ray image was the most commonly used image modality in the …
XAI Unveiled: Revealing the Potential of Explainable AI in Medicine-A Systematic Review
Nowadays, artificial intelligence in medicine plays a leading role. This necessitates the need
to ensure that artificial intelligence systems are not only high-performing but also …
to ensure that artificial intelligence systems are not only high-performing but also …
Data exploration based on local attribution explanation: a medical use case
Exploratory data analysis allows to discover knowledge and patterns and to test hypotheses.
Modelling predictive tools associated with explainability made it possible to explore more …
Modelling predictive tools associated with explainability made it possible to explore more …
Outlook for AI in Oral Surgery and Periodontics
Medicine and dentistry have recently undergone a rapid digitalization process, with the
integration of innovative technologies like artificial intelligence (AI). AI systems have …
integration of innovative technologies like artificial intelligence (AI). AI systems have …
Interpretable machine learning-based individual analysis of acute kidney injury in immune checkpoint inhibitor therapy
M Sakuragi, E Uchino, N Sato, T Matsubara, A Ueda… - Plos one, 2024 - journals.plos.org
Background Acute kidney injury (AKI) is a critical complication of immune checkpoint
inhibitor therapy. Since the etiology of AKI in patients undergoing cancer therapy varies …
inhibitor therapy. Since the etiology of AKI in patients undergoing cancer therapy varies …