ReviewBioengineering (Basel, Switzerland)2024
The Role and Applications of Artificial Intelligence in Dental Implant Planning: A Systematic Review.
Review in Bioengineering (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06527378 (The Role and Applications of Artificial Intelligence in Dental Implant Planning), which is not on this map. Cited by 33 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
The Role and Applications of Artificial Intelligence in Dental Implant Planning
Who cites it
33 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Harnessing AI in prosthodontics and implant dentistry: An umbrella review of systematic evidence.Journal of prosthodontics : official journal of the American College of Prosthodontists · 2026Pooled it
- Clinician-accessible automated machine learning in oral healthcare: A systematic review.The Japanese dental science review · 2026Review
- Developing an Artificial Intelligence Solution to Autosegment the Edentulous Maxillary Bone for Implant Planning.European journal of dentistry · 2026Article
- Article
- Artificial Intelligence in Implant Dentistry: Clinical Validity, Diagnostic Performance, Surgical Planning, and Medico-Legal Implications-A Narrative Review.Dentistry journal · 2026Review
- Classification of dental implants using supervised deep learning from dental radiographs: A scoping review.Imaging science in dentistry · 2026Review
- Article
- Turkish Dentists' Knowledge of Implant Options for Atrophic Jaws: A Cross-Sectional Survey.Cureus · 2026Article
- Current treatment concepts in implantology in oral and maxillofacial surgery in Germany.International journal of implant dentistry · 2026Article
- Radiomics as a Decision Support Tool for Detecting Occult Periapical Lesions on Intraoral Radiographs.Journal of clinical medicine · 2026Article
- Application of Artificial Intelligence in Education of Prosthodontics and Implant Dentistry: A Review.Advances in medical education and practice · 2026Review
- Review
- Alignment optimization in digital implantology: evaluating the role of scan body modifications and different software.BMC oral health · 2025Article
- AI-assisted preoperative surgical planning for dental implant.Journal of translational medicine · 2025Article
- Comparative performance of AI chatbots in dental implantology: insights and limitations.BMC oral health · 2025Article
- A pilot study of digital technology combined with case-based learning in clinical implantology training for specialists.BMC medical education · 2025Article
- Evaluation of VITA shade-based tooth color categories using deep learning.Scientific reports · 2025Article
- Automated Implant Placement Pathway from Dental Panoramic Radiographs Using Deep Learning for Preliminary Clinical Assistance.Diagnostics (Basel, Switzerland) · 2025Article
- Comparison of AI-Powered Tools for CBCT-Based Mandibular Incisive Canal Segmentation: A Validation Study.Clinical oral implants research · 2025Article
- A Digital Workflow for Virtual Articulator Mounting Using Face Scan and Facebow Capture: A Proof-of-Concept.Dentistry journal · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial intelligence (AI) is revolutionizing dentistry, offering new opportunities to improve the precision and efficiency of implantology. This literature review aims to evaluate the current evidence on the use of AI in implant planning assessment. The analysis was conducted through PubMed and Scopus search engines, using a combination of relevant keywords, including "artificial intelligence implantology", "AI implant planning", "AI dental implant", and "implantology artificial intelligence". Selected articles were carefully reviewed to identify studies reporting data on the effectiveness of AI in implant planning. The results of the literature review indicate a growing interest in the application of AI in implant planning, with evidence suggesting an improvement in precision and predictability compared to traditional methods. The summary of the obtained findings by the included studies represents the latest AI developments in implant planning, demonstrating its application for the automated detection of bones, the maxillary sinus, neuronal structure, and teeth. However, some disadvantages were also identified, including the need for high-quality training data and the lack of standardization in protocols. In conclusion, the use of AI in implant planning presents promising prospects for improving clinical outcomes and optimizing patient management. However, further research is needed to fully understand its potential and address the challenges associated with its implementation in clinical practice.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.