F1000Research · 2023 · 109 citations · 113 references
DentistryOral MedicinePediatric DentistryArtificial IntelligenceClinical Decision SupportMachine LearningEndodontic PrognosisOral Disease DiagnosticsArtificial Intelligence-assisted DiagnosisArtificial Intelligence-based DetectionArtificial Intelligence-based Image AnalysisDentofacial OrthopedicsEndodontic Outcome PredictionHuman Error DetectionMachine Learning For HealthcareSurgical Dentistry
Artificial Intelligence (AI) technologies play a significant role and significantly impact various sectors, including healthcare, engineering, sciences, and smart cities. AI has the potential to improve the quality of patient care and treatment outcomes while minimizing the risk of human error. Artificial Intelligence (AI) is transforming the dental industry, just like it is revolutionizing other sectors. It is used in dentistry to diagnose dental diseases and provide treatment recommendations. Dental professionals are increasingly relying on AI technology to assist in diagnosis, clinical decision-making, treatment planning, and prognosis prediction across ten dental specialties. One of the most significant advantages of AI in dentistry is its ability to analyze vast amounts of data quickly and accurately, providing dental professionals with valuable insights to enhance their decision-making processes. The purpose of this paper is to identify the advancement of artificial intelligence algorithms that have been frequently used in dentistry and assess how well they perform in terms of diagnosis, clinical decision-making, treatment, and prognosis prediction in ten dental specialties; dental public health, endodontics, oral and maxillofacial surgery, oral medicine and pathology, oral & maxillofacial radiology, orthodontics and dentofacial orthopedics, pediatric dentistry, periodontics, prosthodontics, and digital dentistry in general. We will also show the pros and cons of using AI in all dental specialties in different ways. Finally, we will present the limitations of using AI in dentistry, which made it incapable of replacing dental personnel, and dentists, who should consider AI a complimentary benefit and not a threat.
113
Jointly Embedding Multiple Single-Cell Omics Measurements
arXiv (Cornell University) · 2019 · 1.3K citations · Full text
Learning to Discover Cross-Domain Relations with Generative Adversarial Networks
Taek‐Soo Kim, Moonsu Cha, Hyun-Soo Kim et al. · arXiv (Cornell University) · 2017 · 732 citations · Full text
What is Machine Learning? A Primer for the Epidemiologist
Qifang Bi, Katherine E Goodman, Joshua Kaminsky et al. · American Journal of Epidemiology · 2019 · 510 citations